Jyotirmoy Pathak, PhD, is a professor at Christ University, Bengaluru, India and serves on several editorial review boards. He has authored over 20 research papers, five book chapters, and one book that have been internationally published. His research interests include side channel attack, VLSI design, low power architecture, memory design, data converters, and cryptology. Abhishek Kumar, PhD, is an associate professor at Lovely Professional University, Punjab, India, and editorial board member for various international journals and conferences. He has published over 30 research papers in referred journals and presented 18 research papers at international conferences. Additionally, he has published five books and 12 book chapters internationally. His areas of expertise include VLSI design, low-power architecture, memory design, data converters, cryptology, and side channel attack. Suman Lata Tripathi, PhD, is a professor at Lovely Professional University, Punjab, India with over seventeen years of scholarly experience. She has published over 45 research papers in refereed journals and conferences, as well as six books. She has orchestrated several student seminars, summer apprenticeships, and lectures by subject matter experts. Her research interests include modelling and characterization of microelectronics devices, design of low power VLSI circuits, VLSI testing designs, advanced FET designs for the Internet of Things, embedded system design, and biomedical applications. Balwinder Raj, PhD, is an associate professor in the Electronics and Communication Engineering Department, Dr. B.R. Ambedkar National Institute of Technology Jalandhar, Punjab, India. He has published over 100 research papers in national and international journals and conferences. His areas of interest include nanoscale semiconductor device modeling, sensors design, FinFET- based memory design, and low-power VLSI design.

• Preface xxi1 History of Smart Textiles and Wearables 1K. Jothimani, S. Hemalatha, S. Selvaraj and R. Thangarajan1.1 Introduction 21.2 Early Concepts and Historical Background 21.2.1 Incorporation of Technology in Textiles: Ancient Practices 31.2.2 Industrial Revolution and Textile Mechanization 41.2.3 Emergence of Functional Textiles 51.3 Advancements in Materials and Technologies 61.3.1 Conductive Fabrics and Fibers 71.3.2 Flexible Electronics and Sensors 81.3.3 Energy Harvesting and Power Management 91.4 Evolution of Wearable Technologies 91.4.1 Early Prototypes and Limitations 101.4.1.1 Limitations of Early Prototypes 101.4.2 Miniaturization and Integration 111.4.3 User Experience Enhancements 121.5 Key Milestones and Innovations 121.5.1 Wearable Fitness Trackers 121.5.1.1 Working Details of Fitness Tracker 141.5.2 Smart Clothing for Medical Monitoring 161.5.3 Fashion-Tech Collaborations 161.5.4 Role of Data Analytics and Connectivity 171.5.4.1 IoT and Smart Textile Integration 181.5.4.2 Artificial Intelligence in Wearables 181.5.4.3 Data Privacy and Security Concerns 191.5.5 Current Trends and Future Prospects 201.5.5.1 Augmented Reality and Virtual Reality Applications 201.5.5.2 Environmental Sensing and Sustainability Efforts 211.5.5.3 Challenges and Opportunities for Further Research 221.5.5.4 Opportunities 231.6 Conclusion 24References 252 Smart Textiles in Healthcare 27Harpreet Kaur Channi, Surinder Kaur and Ramandeep Sandhu2.1 Introduction 282.2 Importance of Smart Textiles In Healthcare 292.3 Evolution of Smart Textiles in Healthcare 312.4 Fabrication and Integration of Sensors in Smart Textiles 332.4.1 Applications of Smart Textiles in Healthcare 352.5 Key Technologies in Smart Textiles 372.5.1 Continuous Health Monitoring 382.5.2 Enhanced Patient Comfort and Compliance 402.6 Remote Patient Monitoring 412.7 Challenges and Considerations 442.8 Case Studies and Examples 462.8.1 University of Pittsburgh Medical Center (UPMC) Health Plan 462.8.2 University of California San Francisco’s Chronic Disease Management Program 472.8.3 Partners HealthCare’s Post-Acute Care Remote Monitoring Program 482.8.4 University of Mississippi Medical Center’s Telepsychiatry Program 482.9 Future Directions and Opportunities 482.9.1 Opportunities for Research and Development 502.9.2 Potential Impact on Healthcare Delivery 522.10 Conclusion 53References 543 Smart Textiles and Its Application in the Healthcare Sector 59Surabhi Das, C. Manjulatha, Desu Surya Tejaswi, Kanchan Bisht and Anita Rani3.1 Introduction 603.2 Monitoring of Physiological Characteristics 613.2.1 Cardiovascular Activity 623.2.2 Electrodermal Activity 623.2.2.1 Breathing 633.2.2.2 Blood Pressure 633.2.2.3 Body Movement 633.3 Distribution of Body Fluids and Investigation of Perspiration 643.4 Concentration of Blood Oxygen 653.5 Applications and Trends for Healthcare Sectorin Smart Textiles 653.5.1 Difficulties Faced by Smart Textiles in Healthcare Sector 673.5.2 Fit and Comfort 673.5.3 Utilization Simplicity 683.5.4 Approval From the Medical Community 683.5.5 Ethics 693.5.6 Side Effects of Smart Wearable Textile Materials 693.6 Conclusion 70References 704 Bio-Integrated Fabrics: A Comprehensive Look at Smart Textiles for Enhanced Healthcare 73Devender Kumar and Seema Mishra4.1 Introduction 744.2 Background 754.2.1 Technical Perspective 754.2.2 Applications and Future Directions 764.3 Revolutionizing Healthcare: Core Applications of Bio-Integrated Fabrics 784.3.1 Continuous Health Monitoring 794.3.2 Rehabilitation and Physical Therapy 794.3.3 Wearable Therapeutics 794.3.3.1 Thermal Therapy 804.3.3.2 Patient Monitoring in Clinical Settings 804.3.3.3 Elderly Care and Assisted Living 804.4 Beyond Applications: Unveiling the Technical Aspects 804.4.1 Materials and Conductive Fibers 814.4.2 Sensor Integration 814.4.3 Flexible Electronics 814.4.4 Energy Harvesting and Storage 824.4.5 Data Processing and Communication 824.5 Challenges and Considerations for Widespread Adoption 824.5.1 Technical Challenges 854.5.1.1 Durability and Washability 854.5.1.2 Power Supply and Energy Efficiency 854.5.1.3 Signal Interference and Data Integrity 854.5.2 Economic Challenges 854.5.2.1 High Production Costs 854.5.2.2 Market Acceptance and Adoption 864.5.3 Regulatory and Ethical Challenges 864.5.3.1 Regulatory Approval 864.5.3.2 Data Privacy and Security 864.5.4 Social and Ethical Considerations 864.5.4.1 User Comfort and Acceptance 864.5.4.2 Accessibility and Equity 874.5.5 Side Effects 874.5.5.1 Skin Sensitivities 884.5.5.2 Sleep Disruption 884.5.5.3 Data Overload and Privacy Concerns 884.5.5.4 Overdependence and Obsession on Metrics 884.6 Conclusion: The Future of Healthcare is Woven with Smart Textiles 89References 895 Printed Flexible Wearable Sensor for Monitoring of Biological Parameters and Disease Management 93S. Saranya, S. Suresh Kumar, Y. Nandakishora and S. Prasad Jones Christydass5.1 Introduction of Biomarkers and Biosensors 945.2 Working of Biosensor 955.3 Biomarker 955.3.1 Biomarker in Clinical Trials 965.4 Classification of Biomarkers Based on Clinical Trials 975.4.1 Diagnostic Biomarker 985.4.2 Predictive Biomarker 995.4.3 Prognostic Biomarker 1005.4.4 Staging Biomarker 1005.5 Classification Based on Characteristics 1015.5.1 Molecular Biomarkers 1015.5.1.1 Chemical Biomarkers 1015.5.1.2 Biomarkers for Proteins 1015.5.1.3 Genetic Biomarkers 1025.5.2 Cellular Biomarkers 1025.5.3 Imaging Biomarkers 1035.6 Wearable Sensors 1045.6.1 Devices for Detecting Biological Fluids 1055.6.1.1 Glucose Sensors 1055.6.1.2 Lactate Sensors 1065.6.1.3 pH Sensors 1075.6.1.4 Cholesterol 1085.7 Physiological Activities and External Stimuli 1095.7.1 Pulse Rate 1095.7.2 Respiration 1105.7.3 Diabetic Detection with Acetone 1105.7.4 Alcohol Level Detection 1115.7.5 Hydration/Dehydration 1125.7.6 Temperature 1125.7.7 Tracking of Movements and Activities 1135.7.8 Strain and Pressure 1135.7.9 Gas Sensors 1145.8 Applications of Sensors 1145.8.1 Glove Immunosensor 1155.8.2 Sweat Biomarkers 1165.8.2.1 Electrochemical Biosensors 1165.8.2.2 Sweat Biomarkers for Chronic Disease Detection 1175.8.2.3 Hepatitis B Amperometric Immunosensor 1175.9 Conclusion 118References 1196 Smart Wound Guard 121Nagaraj S.6.1 Introduction 1216.1.1 Background and Significance of Chronic Wounds 1216.1.2 Limitations of Traditional Wound Care Methods 1226.1.3 Emergence of Wearable Electronics in Healthcare 1226.1.4 Objective of the Chapter 1226.2 Literature Review 1226.3 Design and Development of Wearable Plaster 1246.3.1 Selection of Materials and Components 1246.3.2 Sensor Integration for Real-Time Monitoring 1256.3.3 Development of Automatic Drug Delivery System 1266.3.4 Customization for Individual Patient Needs 1266.3.5 Prototype Development Process 1276.3.6 Analysis of Sensed Molecules 1286.3.6.1 PH Monitoring 1286.3.6.2 Glucose Monitoring 1286.3.6.3 Protein Monitoring 1296.4 Implementation and Testing 1296.4.1 Evaluation of Sensor Accuracy and Reliability 1296.4.2 Pilot Study Design and Methodology 1306.4.3 Data Collection and Analysis 1306.4.4 Assessment of Wearable Plaster Performance 1306.5 Advanced Features and Environmental Sustainability 1316.5.1 Self-Powered Operation 1316.5.2 Real-Time Alerts and Suggestions 1316.5.3 Autonomous Medication Delivery 1316.5.4 Eco-Friendly Design 1326.5.5 Reducing Healthcare Costs 1326.6 Flexibility and Sustainability 1326.6.1 Sensors 1336.6.2 Antenna 1346.6.3 Solar Panel 1346.6.4 Outer Layer 1346.7 Conclusion 135References 1367 Integration of Artificial Intelligence and Machine Learning into Wearable Health Technologies 137Balraj Kumar7.1 Introduction 1387.1.1 Types of Wearable Health Technologies 1397.1.2 Key Features and Functions 1397.1.3 Benefits of Wearable Health Technologies 1407.2 AI and ML in Healthcare 1417.3 Role of AI and ML in Wearable Health Technologies 1437.4 Examples of AI and ML Methods in Wearable Health Solutions 1467.5 Case Study 1477.5.1 Case Study: Real-Time Health Monitoring with Wearable Devices 1477.5.1.1 Challenge 1477.5.1.2 Objectives 1477.5.1.3 Implementation 1487.5.1.4 Results 1497.6 Challenges of AI AND ML Integration into Wearable Health Technologies 1507.7 Resolving the Hurdles of AI and ML Integration in Wearable Health Technologies 1527.8 Research Roadmap of Future 1537.9 Conclusion 154References 1558 Empowering Health: The Fusion of AI and Machine Learning in Wearable Technologies 159Yerumbu Nandakishora, S. Prasad Jones Christydass, K. V. J. Bhargav and S. Suresh Kumar8.1 Introduction 1608.2 HAR Using Traditional ML and DL Algorithms 1638.3 Profile Similarity–Based Personalized Federated Learning (PS-PFL) for Healthcare 1688.4 A Wearable Posture Recognition Device Using AI for Healthcare IoT 1708.5 AI-Enhanced Posture Recognition for Healthcare Wearables by IoT 1738.6 Conclusions 178References 1799 Human–Computer Interaction in Wearable Health Technologies 183S. Hemalatha, K. Jothimani, Thangarajan R. and S. Selvaraj9.1 Introduction 1849.1.1 Background 1849.1.2 Significance of HCI in Wearable Health Technologies 1849.1.2.1 User-Centered Design 1849.1.2.2 Intuitive Interfaces 1849.1.2.3 Data Visualization and Interpretation 1859.1.2.4 Adherence and Engagement 1859.1.2.5 Privacy and Trust 1859.1.2.6 Integration and Interoperability 1859.1.3 Objectives of the Chapter 1859.1.4 Overview of Wearable Health Technologies 1869.1.5 Multimodal Fusion 1889.2 Human–Computer Interaction (HCI) Fundamentals (SH) 1889.2.1 Principles of HCI in Healthcare 1889.2.2 Importance of UX Design in Wearable Health Technologies 1909.2.3 HCI Design Process Overview 1909.3 Prototyping and Iterative Design Approaches 1919.4 User-Centered Design in Wearable Health Technologies 1929.4.1 Understanding User Needs and Context 1929.4.1.1 User Research and Profiling 1929.4.1.2 Understanding User Contexts 1929.4.1.3 Usability and Accessibility Considerations 1939.4.1.4 Integration with Existing Routines and Workflows 1939.4.1.5 Iterative Design and User Feedback 1939.4.2 Designing for Accessibility and Inclusivity 1939.4.3 Prototyping and Iterative Design Approaches 1949.4.3.1 Prototyping 1949.4.3.2 Iterative Design Process 1959.5 Usability Testing and Evaluation 1969.5.1 Usability Metrics and Evaluation Methods 1969.6 Conducting Usability Studies with Wearable Devices 1979.7 Analyzing and Interpreting Usability Data 1989.8 Feedback Mechanisms and User Engagement 2009.8.1 Importance of Real-Time Feedback in Health Monitoring 2009.8.2 Designing Effective Feedback Systems 2019.8.3 Gamification and Behavioral Strategies for User Engagement 2019.9 Personalization Strategies 2039.9.1 Adaptive Systems and Machine Learning in Personalization 2049.9.2 Ethical Considerations in Personalized Health Technologies 2059.10 Challenges and Future Directions 2069.10.1 Data Privacy and Security Concerns 2069.10.2 Interdisciplinary Collaboration in HCI for Health Technologies 2079.10.3 Emerging Technologies and Trends in Wearable Health 2089.11 Case Studies and Examples 2089.11.1 Case Study 1: Wearable Fitness Tracker UX Design 2089.11.2 Case Study 2: Remote Health Monitoring System 2109.11.3 Lessons Learned and Best Practices 2119.12 Conclusion and Recommendations 2119.12.1 Summary of Key Points 2119.12.2 Implications for Research and Practice 2119.12.3 Future Directions in HCI for Wearable Health Technologies 212References 21210 Classification of Emotions from EEG Signals with Optimization Algorithms and Deep Learning Approaches 215Y. Sowjanya Kumari, D.N.V. Syma Kumar and V. Venkata Praveen Kumar10.1 Introduction 21610.1.1 Acquisition of EEG Signals by the Brain 21710.1.2 EEG Signal Processing 21810.2 Related Work 21910.3 Proposed Work 22010.3.1 Particle Swarm Optimization (PSO) 22010.3.1.1 Key Elements of PSO 22110.3.1.2 Procedural Steps of PSO 22210.4 Lstm 22310.5 Gru 22710.6 Proposed Methodology 23010.6.1 Procedure 1 23010.6.2 Procedure 2 23010.7 Results and Discussions 23110.7.1 Confusion Matrix 23210.7.2 Precision, Recall, F1-Score, and Support 23210.8 Conclusion 234Data Availability 234References 23511 Wearable Devices for Injury Prevention and Rehabilitation 239Vishnu Mittal, Pushkar Upadhyay and Anjali Sharma11.1 Introduction 24011.1.1 Generalization of Human Physiological Parameters 24311.1.2 Forecasting Running Injuries and Efficiency Using Wearable Technology 24411.1.3 Transduction Systems for Body Parameter Measurement 24511.2 Why are Wearable Devices Better 24711.3 Case Study and Real-World Instances of Wearable Technology 24911.3.1 Case Study 1: Tracking Health Indicators 24911.3.2 Case Study 2: Monitoring Sports Performance 24911.3.3 Case Study 3: Controlling Athletes in the Weight Room 25011.3.4 Case Study 4: Tracking Sleep 25011.3.5 Case Study 5: Remote Monitoring Systems 25111.3.6 Case Study 6: Mobile Phone Technology 25211.3.7 Case Study 7: Integrating Physiological Monitoring 25211.3.8 Case Study 8: Bio-Chemical Sensors 25311.3.9 Case Study 9: Medical Alert System 25311.3.10 Case Study 10: Health and Wellness Monitoring 25411.3.11 Case Study 11: Smart Home Projects 25411.4 Conclusions and Future Directions 255References 25612 Muscles in Motion: Wearables for Sports and Fitness 263Pushkar Upadhyay, Vishnu Mittal and Rameshwar Dass12.1 Introduction 26412.2 Understanding Muscle Movement 26712.2.1 Types of Muscles (Skeletal, Smooth, and Cardiac) 26712.2.1.1 Striated Muscle 26712.2.1.2 Smooth Muscle 26812.2.2 Muscle Structure and Function 26812.3 Wearable Technology in Sports and Fitness 26912.3.1 Evolution of Wearables in Sports and Fitness 26912.3.2 Wearable Tools for Monitoring Physiological Data During Exercise 26912.4 Types of Wearable Devices 27012.4.1 Movement Pattern and Velocity Tracking Using Inertial Measurement Units (IMUs) 27012.4.2 Technological Developments in Force Sensing for Improved Force Measurement 27112.4.3 Precise Foot Pressure Analysis by Pressure Sensors 27212.5 Applications of Wearables in Sports and Fitness 27212.5.1 Mechanomyogram (EMG) Method 27312.5.2 Autonomic Nervous System (ANS) Correlation 27412.5.3 Machine Learning Technique 27512.5.4 Injury Prevention and Rehabilitation 27512.5.5 OptimEye S 5 27612.5.6 FIT Guard 27612.5.7 Zephyr Performance Systems 27612.5.8 The Q-Collar 27712.5.9 Threshold Limit Sensors 27712.5.10 Smart-Foam 27712.5.11 Wearable Footwear and Accessories 27812.6 Challenges and Future Directions 27812.6.1 Difficulties in Applying Wearable Technology to Resistance Training Research 27812.6.1.1 Accuracy and Reliability of Measurements 27812.6.1.2 Validation and Standardization of Wearable Technology 27912.6.2 Ethical Considerations and Privacy Concerns 27912.7 Conclusion 280References 28113 Evolution of Wearable Technology in Sports and Fitness 289Kanchan Bisht, Desu Surya Tejaswi, C. Manjulatha, Surabhi Das and Yogitha Gunupuru13.1 Introduction 29013.1.1 History of Wearable Technology 29013.1.2 Key Features and Functionalities of Wearable Technologies 29113.2 Types of Wearable Technologies 29213.3 Applications of Wearable Technologies in Sports and Fitness 29313.3.1 Performance Monitoring 29413.3.1.1 Running and Cycling 29413.3.1.2 Team Sports 29413.3.2 Injury Prevention 29513.3.2.1 Smart Insoles 29513.3.2.2 Motion Sensors 29513.3.3 Recovery Enhancement 29513.3.3.1 WHOOP Strap 29613.3.3.2 Oura Ring 29613.3.4 Personalized Training 29613.3.4.1 Training Apps 29613.3.4.2 Smart Equipment 29613.3.5 Real-Time Feedback 29713.3.5.1 Cycling 29713.3.5.2 Swimming 29713.4 Benefits of Wearable Technologies 29713.4.1 Enhanced Performance 29813.4.2 Improved Health and Well-Being 29813.4.3 Data-Driven Decisions 29813.4.4 Increased Motivation 29913.5 Challenges and Limitations 29913.5.1 Data Accuracy 29913.5.2 Privacy Concerns 30013.5.3 Cost and Accessibility 30013.6 Future Trends in Wearable Technologies 30113.6.1 Integration with AI and Machine Learning 30113.6.2 Advanced Biometric Monitoring 30113.6.3 Enhanced Connectivity 30113.6.4 Virtual and Augmented Reality 30213.6.5 Sustainable and Eco-Friendly Wearables 30213.7 Conclusion 303References 30314 Architecture, Material, Process, and Application of Bio-FETs 307Yapashetti Rajinikanth, Suman Lata Tripathi and Sandhya Avasthi14.1 Introduction 30814.2 Literature Review 30914.3 Architecture of Bio-FET 31014.4 Bio-FET Mechanism of Operation 31014.5 Bio-FET Working Principle 31014.6 Bio-FET Types and Fabrication Steps 31114.7 Optimization 31214.8 Material Specification 31214.9 Applications of Bio-FET 31414.9.1 Clinical Investigations 31414.9.2 Environmental Assessment 31414.9.3 Food Consumption 31414.9.4 Biological Research 31414.9.5 Treatments 31514.9.6 Individual Therapy 31514.10 Conventional MOSFET Comparison 31514.10.1 Organization and Function 31514.10.2 Specifics and Sensitivities 31514.10.3 Resources 31514.10.4 Supplies 31614.10.5 Integration 31614.11 Advanced FET Architectures as Biosensor 31614.12 Challenges and Future Scope 31814.13 Conclusion 318References 31915 Future Directions and Innovations in Wearable Technologies 321Payal Bansal, Sudev Dutta and Murugan K.15.1 Introduction 32215.2 Empowering Wearables 32315.3 Piezoelectric Wearable Technology 32515.3.1 Harvesting Energy from Human Motion 32715.3.2 Piezoelectric-Pressure Radars 32915.3.3 Wearable Medical Sensors 33015.4 Triboelectric Wearables 33115.5 Electromagnetic Sensors 33215.6 Thermal-Based Sensors 33315.7 Comparison of Wearable Sensors 33415.8 Conclusions 335References 33616 Future Horizons: Exploring the Evolution of Wearable and Flexible Health Devices 343Himanshu Sharma, Pooja Mittal, Gurdev and Vishnu Mittal16.1 Introduction 34416.2 Characteristics of Wearable Technologies 34516.3 Types of Wearable Technologies 34616.3.1 Wearable Health Technology 34616.3.2 Wearable Textile Technologies 34716.3.3 Wearable Consumer Electronics 34816.4 Review of Wearable Technologies in Healthcare 34816.4.1 Example of a Product on the Market 35216.4.2 The Approach of Wearable Technology 35416.4.3 The Public and Personal Safety 35516.4.4 Business 35616.4.5 Research 35616.4.6 Production 35616.4.7 Sales 35616.4.8 Service 35716.4.9 Tourism 35716.4.10 People with Impairments 35716.4.11 Health 35816.4.12 Entertainment 35816.5 Conclusion 358References 35917 Threads of Creativity: Exploring Smart Fabric Integration in Contemporary Mural Art 363Prabhjot Kaur and Rohita Sharma17.1 Introduction 36317.2 Smart Fabric Integration 36517.2.1 The Benefits of Smart Fabric Integration 36517.2.2 Challenges and Considerations 36617.2.3 Technical Complexity 36617.2.4 Maintenance and Durability 36617.2.5 Privacy and Security 36617.2.6 Examples of Smart Fabric Integration in Contemporary Mural Art 36717.2.6.1 The Light Weaver by Studio Drift (2018) 36717.2.6.2 The Singing Wall by TeamLab (2018) 36817.2.6.3 The Breathing Wall by Viktoria Modesta (2019) 36817.2.6.4 The Interactive Wall by Refik Anadol (2019) 36817.3 Importance of Traditional Art Forms in the Museum 37017.3.1 Embroidery and Textiles 37017.3.2 Calligraphy and Manuscripts 37117.3.3 Potential for Smart Fabric Integration in the Museum’s Exhibits 37117.3.3.1 Ancient Civilizations 37217.3.3.2 Classical Antiquity 37217.3.3.3 Medieval and Renaissance Periods 37317.3.3.4 Modern and Contemporary Era 37317.3.3.5 Sensing Capabilities 37317.3.3.6 Lighting and Illumination 37417.3.3.7 Communication and Connectivity 37417.3.3.8 Thermal Regulation 37417.3.3.9 Biomedical and Healthcare Applications 37417.4 Integration of Smart Fabrics in Mural Art 37517.4.1 Integration of Smart Fabrics in Mural Art at the Virasat-e-Khalsa Museum 37617.5 Conclusion 378Bibliography 37918 Non-Invasive Blood Sugar Detection 381Abhishek Kumar and Vishal Gupta18.1 Introduction 38118.1.1 Invasive Method 38218.1.2 Non-Invasive Method 38318.2 Sweat Composition 38318.2.1 Sweat-Based Glucose Monitoring 38418.2.1.1 Sweat Sensors 38418.3 Experiment 38618.4 Challenges 38918.5 Pros and Cons 39018.5.1 Pros 39018.5.2 Cons 39018.6 Conclusion 391References 39119 A Fast Scalable and Pipelined VLSI Transform Architecture for Walsh-Hadamard 393Sudip Ghosh and Suman Lata Tripathi19.1 Introduction and Related Works 39419.2 Mathematical Background 39719.3 Proposed Algorithm for HVMA 39819.4 Pseudo-Code for Generic Algorithm 40519.5 Description of Generic Algorithm 40819.6 Analysis and Discussion 41019.7 Datapath and Controller 41219.8 Experimental Results 41519.9 Conclusion and Scope of Future Work 417References 418Index 421

Jyotirmoy Pathak, PhD, is a professor at Christ University, Bengaluru, India and serves on several editorial review boards. He has authored over 20 research papers, five book chapters, and one book that have been internationally published. His research interests include side channel attack, VLSI design, low power architecture, memory design, data converters, and cryptology. Abhishek Kumar, PhD, is an associate professor at Lovely Professional University, Punjab, India, and editorial board member for various international journals and conferences. He has published over 30 research papers in referred journals and presented 18 research papers at international conferences. Additionally, he has published five books and 12 book chapters internationally. His areas of expertise include VLSI design, low-power architecture, memory design, data converters, cryptology, and side channel attack. Suman Lata Tripathi, PhD, is a professor at Lovely Professional University, Punjab, India with over seventeen years of scholarly experience. She has published over 45 research papers in refereed journals and conferences, as well as six books. She has orchestrated several student seminars, summer apprenticeships, and lectures by subject matter experts. Her research interests include modelling and characterization of microelectronics devices, design of low power VLSI circuits, VLSI testing designs, advanced FET designs for the Internet of Things, embedded system design, and biomedical applications. Balwinder Raj, PhD, is an associate professor in the Electronics and Communication Engineering Department, Dr. B.R. Ambedkar National Institute of Technology Jalandhar, Punjab, India. He has published over 100 research papers in national and international journals and conferences. His areas of interest include nanoscale semiconductor device modeling, sensors design, FinFET- based memory design, and low-power VLSI design.

• Preface xxi1 History of Smart Textiles and Wearables 1K. Jothimani, S. Hemalatha, S. Selvaraj and R. Thangarajan1.1 Introduction 21.2 Early Concepts and Historical Background 21.2.1 Incorporation of Technology in Textiles: Ancient Practices 31.2.2 Industrial Revolution and Textile Mechanization 41.2.3 Emergence of Functional Textiles 51.3 Advancements in Materials and Technologies 61.3.1 Conductive Fabrics and Fibers 71.3.2 Flexible Electronics and Sensors 81.3.3 Energy Harvesting and Power Management 91.4 Evolution of Wearable Technologies 91.4.1 Early Prototypes and Limitations 101.4.1.1 Limitations of Early Prototypes 101.4.2 Miniaturization and Integration 111.4.3 User Experience Enhancements 121.5 Key Milestones and Innovations 121.5.1 Wearable Fitness Trackers 121.5.1.1 Working Details of Fitness Tracker 141.5.2 Smart Clothing for Medical Monitoring 161.5.3 Fashion-Tech Collaborations 161.5.4 Role of Data Analytics and Connectivity 171.5.4.1 IoT and Smart Textile Integration 181.5.4.2 Artificial Intelligence in Wearables 181.5.4.3 Data Privacy and Security Concerns 191.5.5 Current Trends and Future Prospects 201.5.5.1 Augmented Reality and Virtual Reality Applications 201.5.5.2 Environmental Sensing and Sustainability Efforts 211.5.5.3 Challenges and Opportunities for Further Research 221.5.5.4 Opportunities 231.6 Conclusion 24References 252 Smart Textiles in Healthcare 27Harpreet Kaur Channi, Surinder Kaur and Ramandeep Sandhu2.1 Introduction 282.2 Importance of Smart Textiles In Healthcare 292.3 Evolution of Smart Textiles in Healthcare 312.4 Fabrication and Integration of Sensors in Smart Textiles 332.4.1 Applications of Smart Textiles in Healthcare 352.5 Key Technologies in Smart Textiles 372.5.1 Continuous Health Monitoring 382.5.2 Enhanced Patient Comfort and Compliance 402.6 Remote Patient Monitoring 412.7 Challenges and Considerations 442.8 Case Studies and Examples 462.8.1 University of Pittsburgh Medical Center (UPMC) Health Plan 462.8.2 University of California San Francisco’s Chronic Disease Management Program 472.8.3 Partners HealthCare’s Post-Acute Care Remote Monitoring Program 482.8.4 University of Mississippi Medical Center’s Telepsychiatry Program 482.9 Future Directions and Opportunities 482.9.1 Opportunities for Research and Development 502.9.2 Potential Impact on Healthcare Delivery 522.10 Conclusion 53References 543 Smart Textiles and Its Application in the Healthcare Sector 59Surabhi Das, C. Manjulatha, Desu Surya Tejaswi, Kanchan Bisht and Anita Rani3.1 Introduction 603.2 Monitoring of Physiological Characteristics 613.2.1 Cardiovascular Activity 623.2.2 Electrodermal Activity 623.2.2.1 Breathing 633.2.2.2 Blood Pressure 633.2.2.3 Body Movement 633.3 Distribution of Body Fluids and Investigation of Perspiration 643.4 Concentration of Blood Oxygen 653.5 Applications and Trends for Healthcare Sectorin Smart Textiles 653.5.1 Difficulties Faced by Smart Textiles in Healthcare Sector 673.5.2 Fit and Comfort 673.5.3 Utilization Simplicity 683.5.4 Approval From the Medical Community 683.5.5 Ethics 693.5.6 Side Effects of Smart Wearable Textile Materials 693.6 Conclusion 70References 704 Bio-Integrated Fabrics: A Comprehensive Look at Smart Textiles for Enhanced Healthcare 73Devender Kumar and Seema Mishra4.1 Introduction 744.2 Background 754.2.1 Technical Perspective 754.2.2 Applications and Future Directions 764.3 Revolutionizing Healthcare: Core Applications of Bio-Integrated Fabrics 784.3.1 Continuous Health Monitoring 794.3.2 Rehabilitation and Physical Therapy 794.3.3 Wearable Therapeutics 794.3.3.1 Thermal Therapy 804.3.3.2 Patient Monitoring in Clinical Settings 804.3.3.3 Elderly Care and Assisted Living 804.4 Beyond Applications: Unveiling the Technical Aspects 804.4.1 Materials and Conductive Fibers 814.4.2 Sensor Integration 814.4.3 Flexible Electronics 814.4.4 Energy Harvesting and Storage 824.4.5 Data Processing and Communication 824.5 Challenges and Considerations for Widespread Adoption 824.5.1 Technical Challenges 854.5.1.1 Durability and Washability 854.5.1.2 Power Supply and Energy Efficiency 854.5.1.3 Signal Interference and Data Integrity 854.5.2 Economic Challenges 854.5.2.1 High Production Costs 854.5.2.2 Market Acceptance and Adoption 864.5.3 Regulatory and Ethical Challenges 864.5.3.1 Regulatory Approval 864.5.3.2 Data Privacy and Security 864.5.4 Social and Ethical Considerations 864.5.4.1 User Comfort and Acceptance 864.5.4.2 Accessibility and Equity 874.5.5 Side Effects 874.5.5.1 Skin Sensitivities 884.5.5.2 Sleep Disruption 884.5.5.3 Data Overload and Privacy Concerns 884.5.5.4 Overdependence and Obsession on Metrics 884.6 Conclusion: The Future of Healthcare is Woven with Smart Textiles 89References 895 Printed Flexible Wearable Sensor for Monitoring of Biological Parameters and Disease Management 93S. Saranya, S. Suresh Kumar, Y. Nandakishora and S. Prasad Jones Christydass5.1 Introduction of Biomarkers and Biosensors 945.2 Working of Biosensor 955.3 Biomarker 955.3.1 Biomarker in Clinical Trials 965.4 Classification of Biomarkers Based on Clinical Trials 975.4.1 Diagnostic Biomarker 985.4.2 Predictive Biomarker 995.4.3 Prognostic Biomarker 1005.4.4 Staging Biomarker 1005.5 Classification Based on Characteristics 1015.5.1 Molecular Biomarkers 1015.5.1.1 Chemical Biomarkers 1015.5.1.2 Biomarkers for Proteins 1015.5.1.3 Genetic Biomarkers 1025.5.2 Cellular Biomarkers 1025.5.3 Imaging Biomarkers 1035.6 Wearable Sensors 1045.6.1 Devices for Detecting Biological Fluids 1055.6.1.1 Glucose Sensors 1055.6.1.2 Lactate Sensors 1065.6.1.3 pH Sensors 1075.6.1.4 Cholesterol 1085.7 Physiological Activities and External Stimuli 1095.7.1 Pulse Rate 1095.7.2 Respiration 1105.7.3 Diabetic Detection with Acetone 1105.7.4 Alcohol Level Detection 1115.7.5 Hydration/Dehydration 1125.7.6 Temperature 1125.7.7 Tracking of Movements and Activities 1135.7.8 Strain and Pressure 1135.7.9 Gas Sensors 1145.8 Applications of Sensors 1145.8.1 Glove Immunosensor 1155.8.2 Sweat Biomarkers 1165.8.2.1 Electrochemical Biosensors 1165.8.2.2 Sweat Biomarkers for Chronic Disease Detection 1175.8.2.3 Hepatitis B Amperometric Immunosensor 1175.9 Conclusion 118References 1196 Smart Wound Guard 121Nagaraj S.6.1 Introduction 1216.1.1 Background and Significance of Chronic Wounds 1216.1.2 Limitations of Traditional Wound Care Methods 1226.1.3 Emergence of Wearable Electronics in Healthcare 1226.1.4 Objective of the Chapter 1226.2 Literature Review 1226.3 Design and Development of Wearable Plaster 1246.3.1 Selection of Materials and Components 1246.3.2 Sensor Integration for Real-Time Monitoring 1256.3.3 Development of Automatic Drug Delivery System 1266.3.4 Customization for Individual Patient Needs 1266.3.5 Prototype Development Process 1276.3.6 Analysis of Sensed Molecules 1286.3.6.1 PH Monitoring 1286.3.6.2 Glucose Monitoring 1286.3.6.3 Protein Monitoring 1296.4 Implementation and Testing 1296.4.1 Evaluation of Sensor Accuracy and Reliability 1296.4.2 Pilot Study Design and Methodology 1306.4.3 Data Collection and Analysis 1306.4.4 Assessment of Wearable Plaster Performance 1306.5 Advanced Features and Environmental Sustainability 1316.5.1 Self-Powered Operation 1316.5.2 Real-Time Alerts and Suggestions 1316.5.3 Autonomous Medication Delivery 1316.5.4 Eco-Friendly Design 1326.5.5 Reducing Healthcare Costs 1326.6 Flexibility and Sustainability 1326.6.1 Sensors 1336.6.2 Antenna 1346.6.3 Solar Panel 1346.6.4 Outer Layer 1346.7 Conclusion 135References 1367 Integration of Artificial Intelligence and Machine Learning into Wearable Health Technologies 137Balraj Kumar7.1 Introduction 1387.1.1 Types of Wearable Health Technologies 1397.1.2 Key Features and Functions 1397.1.3 Benefits of Wearable Health Technologies 1407.2 AI and ML in Healthcare 1417.3 Role of AI and ML in Wearable Health Technologies 1437.4 Examples of AI and ML Methods in Wearable Health Solutions 1467.5 Case Study 1477.5.1 Case Study: Real-Time Health Monitoring with Wearable Devices 1477.5.1.1 Challenge 1477.5.1.2 Objectives 1477.5.1.3 Implementation 1487.5.1.4 Results 1497.6 Challenges of AI AND ML Integration into Wearable Health Technologies 1507.7 Resolving the Hurdles of AI and ML Integration in Wearable Health Technologies 1527.8 Research Roadmap of Future 1537.9 Conclusion 154References 1558 Empowering Health: The Fusion of AI and Machine Learning in Wearable Technologies 159Yerumbu Nandakishora, S. Prasad Jones Christydass, K. V. J. Bhargav and S. Suresh Kumar8.1 Introduction 1608.2 HAR Using Traditional ML and DL Algorithms 1638.3 Profile Similarity–Based Personalized Federated Learning (PS-PFL) for Healthcare 1688.4 A Wearable Posture Recognition Device Using AI for Healthcare IoT 1708.5 AI-Enhanced Posture Recognition for Healthcare Wearables by IoT 1738.6 Conclusions 178References 1799 Human–Computer Interaction in Wearable Health Technologies 183S. Hemalatha, K. Jothimani, Thangarajan R. and S. Selvaraj9.1 Introduction 1849.1.1 Background 1849.1.2 Significance of HCI in Wearable Health Technologies 1849.1.2.1 User-Centered Design 1849.1.2.2 Intuitive Interfaces 1849.1.2.3 Data Visualization and Interpretation 1859.1.2.4 Adherence and Engagement 1859.1.2.5 Privacy and Trust 1859.1.2.6 Integration and Interoperability 1859.1.3 Objectives of the Chapter 1859.1.4 Overview of Wearable Health Technologies 1869.1.5 Multimodal Fusion 1889.2 Human–Computer Interaction (HCI) Fundamentals (SH) 1889.2.1 Principles of HCI in Healthcare 1889.2.2 Importance of UX Design in Wearable Health Technologies 1909.2.3 HCI Design Process Overview 1909.3 Prototyping and Iterative Design Approaches 1919.4 User-Centered Design in Wearable Health Technologies 1929.4.1 Understanding User Needs and Context 1929.4.1.1 User Research and Profiling 1929.4.1.2 Understanding User Contexts 1929.4.1.3 Usability and Accessibility Considerations 1939.4.1.4 Integration with Existing Routines and Workflows 1939.4.1.5 Iterative Design and User Feedback 1939.4.2 Designing for Accessibility and Inclusivity 1939.4.3 Prototyping and Iterative Design Approaches 1949.4.3.1 Prototyping 1949.4.3.2 Iterative Design Process 1959.5 Usability Testing and Evaluation 1969.5.1 Usability Metrics and Evaluation Methods 1969.6 Conducting Usability Studies with Wearable Devices 1979.7 Analyzing and Interpreting Usability Data 1989.8 Feedback Mechanisms and User Engagement 2009.8.1 Importance of Real-Time Feedback in Health Monitoring 2009.8.2 Designing Effective Feedback Systems 2019.8.3 Gamification and Behavioral Strategies for User Engagement 2019.9 Personalization Strategies 2039.9.1 Adaptive Systems and Machine Learning in Personalization 2049.9.2 Ethical Considerations in Personalized Health Technologies 2059.10 Challenges and Future Directions 2069.10.1 Data Privacy and Security Concerns 2069.10.2 Interdisciplinary Collaboration in HCI for Health Technologies 2079.10.3 Emerging Technologies and Trends in Wearable Health 2089.11 Case Studies and Examples 2089.11.1 Case Study 1: Wearable Fitness Tracker UX Design 2089.11.2 Case Study 2: Remote Health Monitoring System 2109.11.3 Lessons Learned and Best Practices 2119.12 Conclusion and Recommendations 2119.12.1 Summary of Key Points 2119.12.2 Implications for Research and Practice 2119.12.3 Future Directions in HCI for Wearable Health Technologies 212References 21210 Classification of Emotions from EEG Signals with Optimization Algorithms and Deep Learning Approaches 215Y. Sowjanya Kumari, D.N.V. Syma Kumar and V. Venkata Praveen Kumar10.1 Introduction 21610.1.1 Acquisition of EEG Signals by the Brain 21710.1.2 EEG Signal Processing 21810.2 Related Work 21910.3 Proposed Work 22010.3.1 Particle Swarm Optimization (PSO) 22010.3.1.1 Key Elements of PSO 22110.3.1.2 Procedural Steps of PSO 22210.4 Lstm 22310.5 Gru 22710.6 Proposed Methodology 23010.6.1 Procedure 1 23010.6.2 Procedure 2 23010.7 Results and Discussions 23110.7.1 Confusion Matrix 23210.7.2 Precision, Recall, F1-Score, and Support 23210.8 Conclusion 234Data Availability 234References 23511 Wearable Devices for Injury Prevention and Rehabilitation 239Vishnu Mittal, Pushkar Upadhyay and Anjali Sharma11.1 Introduction 24011.1.1 Generalization of Human Physiological Parameters 24311.1.2 Forecasting Running Injuries and Efficiency Using Wearable Technology 24411.1.3 Transduction Systems for Body Parameter Measurement 24511.2 Why are Wearable Devices Better 24711.3 Case Study and Real-World Instances of Wearable Technology 24911.3.1 Case Study 1: Tracking Health Indicators 24911.3.2 Case Study 2: Monitoring Sports Performance 24911.3.3 Case Study 3: Controlling Athletes in the Weight Room 25011.3.4 Case Study 4: Tracking Sleep 25011.3.5 Case Study 5: Remote Monitoring Systems 25111.3.6 Case Study 6: Mobile Phone Technology 25211.3.7 Case Study 7: Integrating Physiological Monitoring 25211.3.8 Case Study 8: Bio-Chemical Sensors 25311.3.9 Case Study 9: Medical Alert System 25311.3.10 Case Study 10: Health and Wellness Monitoring 25411.3.11 Case Study 11: Smart Home Projects 25411.4 Conclusions and Future Directions 255References 25612 Muscles in Motion: Wearables for Sports and Fitness 263Pushkar Upadhyay, Vishnu Mittal and Rameshwar Dass12.1 Introduction 26412.2 Understanding Muscle Movement 26712.2.1 Types of Muscles (Skeletal, Smooth, and Cardiac) 26712.2.1.1 Striated Muscle 26712.2.1.2 Smooth Muscle 26812.2.2 Muscle Structure and Function 26812.3 Wearable Technology in Sports and Fitness 26912.3.1 Evolution of Wearables in Sports and Fitness 26912.3.2 Wearable Tools for Monitoring Physiological Data During Exercise 26912.4 Types of Wearable Devices 27012.4.1 Movement Pattern and Velocity Tracking Using Inertial Measurement Units (IMUs) 27012.4.2 Technological Developments in Force Sensing for Improved Force Measurement 27112.4.3 Precise Foot Pressure Analysis by Pressure Sensors 27212.5 Applications of Wearables in Sports and Fitness 27212.5.1 Mechanomyogram (EMG) Method 27312.5.2 Autonomic Nervous System (ANS) Correlation 27412.5.3 Machine Learning Technique 27512.5.4 Injury Prevention and Rehabilitation 27512.5.5 OptimEye S 5 27612.5.6 FIT Guard 27612.5.7 Zephyr Performance Systems 27612.5.8 The Q-Collar 27712.5.9 Threshold Limit Sensors 27712.5.10 Smart-Foam 27712.5.11 Wearable Footwear and Accessories 27812.6 Challenges and Future Directions 27812.6.1 Difficulties in Applying Wearable Technology to Resistance Training Research 27812.6.1.1 Accuracy and Reliability of Measurements 27812.6.1.2 Validation and Standardization of Wearable Technology 27912.6.2 Ethical Considerations and Privacy Concerns 27912.7 Conclusion 280References 28113 Evolution of Wearable Technology in Sports and Fitness 289Kanchan Bisht, Desu Surya Tejaswi, C. Manjulatha, Surabhi Das and Yogitha Gunupuru13.1 Introduction 29013.1.1 History of Wearable Technology 29013.1.2 Key Features and Functionalities of Wearable Technologies 29113.2 Types of Wearable Technologies 29213.3 Applications of Wearable Technologies in Sports and Fitness 29313.3.1 Performance Monitoring 29413.3.1.1 Running and Cycling 29413.3.1.2 Team Sports 29413.3.2 Injury Prevention 29513.3.2.1 Smart Insoles 29513.3.2.2 Motion Sensors 29513.3.3 Recovery Enhancement 29513.3.3.1 WHOOP Strap 29613.3.3.2 Oura Ring 29613.3.4 Personalized Training 29613.3.4.1 Training Apps 29613.3.4.2 Smart Equipment 29613.3.5 Real-Time Feedback 29713.3.5.1 Cycling 29713.3.5.2 Swimming 29713.4 Benefits of Wearable Technologies 29713.4.1 Enhanced Performance 29813.4.2 Improved Health and Well-Being 29813.4.3 Data-Driven Decisions 29813.4.4 Increased Motivation 29913.5 Challenges and Limitations 29913.5.1 Data Accuracy 29913.5.2 Privacy Concerns 30013.5.3 Cost and Accessibility 30013.6 Future Trends in Wearable Technologies 30113.6.1 Integration with AI and Machine Learning 30113.6.2 Advanced Biometric Monitoring 30113.6.3 Enhanced Connectivity 30113.6.4 Virtual and Augmented Reality 30213.6.5 Sustainable and Eco-Friendly Wearables 30213.7 Conclusion 303References 30314 Architecture, Material, Process, and Application of Bio-FETs 307Yapashetti Rajinikanth, Suman Lata Tripathi and Sandhya Avasthi14.1 Introduction 30814.2 Literature Review 30914.3 Architecture of Bio-FET 31014.4 Bio-FET Mechanism of Operation 31014.5 Bio-FET Working Principle 31014.6 Bio-FET Types and Fabrication Steps 31114.7 Optimization 31214.8 Material Specification 31214.9 Applications of Bio-FET 31414.9.1 Clinical Investigations 31414.9.2 Environmental Assessment 31414.9.3 Food Consumption 31414.9.4 Biological Research 31414.9.5 Treatments 31514.9.6 Individual Therapy 31514.10 Conventional MOSFET Comparison 31514.10.1 Organization and Function 31514.10.2 Specifics and Sensitivities 31514.10.3 Resources 31514.10.4 Supplies 31614.10.5 Integration 31614.11 Advanced FET Architectures as Biosensor 31614.12 Challenges and Future Scope 31814.13 Conclusion 318References 31915 Future Directions and Innovations in Wearable Technologies 321Payal Bansal, Sudev Dutta and Murugan K.15.1 Introduction 32215.2 Empowering Wearables 32315.3 Piezoelectric Wearable Technology 32515.3.1 Harvesting Energy from Human Motion 32715.3.2 Piezoelectric-Pressure Radars 32915.3.3 Wearable Medical Sensors 33015.4 Triboelectric Wearables 33115.5 Electromagnetic Sensors 33215.6 Thermal-Based Sensors 33315.7 Comparison of Wearable Sensors 33415.8 Conclusions 335References 33616 Future Horizons: Exploring the Evolution of Wearable and Flexible Health Devices 343Himanshu Sharma, Pooja Mittal, Gurdev and Vishnu Mittal16.1 Introduction 34416.2 Characteristics of Wearable Technologies 34516.3 Types of Wearable Technologies 34616.3.1 Wearable Health Technology 34616.3.2 Wearable Textile Technologies 34716.3.3 Wearable Consumer Electronics 34816.4 Review of Wearable Technologies in Healthcare 34816.4.1 Example of a Product on the Market 35216.4.2 The Approach of Wearable Technology 35416.4.3 The Public and Personal Safety 35516.4.4 Business 35616.4.5 Research 35616.4.6 Production 35616.4.7 Sales 35616.4.8 Service 35716.4.9 Tourism 35716.4.10 People with Impairments 35716.4.11 Health 35816.4.12 Entertainment 35816.5 Conclusion 358References 35917 Threads of Creativity: Exploring Smart Fabric Integration in Contemporary Mural Art 363Prabhjot Kaur and Rohita Sharma17.1 Introduction 36317.2 Smart Fabric Integration 36517.2.1 The Benefits of Smart Fabric Integration 36517.2.2 Challenges and Considerations 36617.2.3 Technical Complexity 36617.2.4 Maintenance and Durability 36617.2.5 Privacy and Security 36617.2.6 Examples of Smart Fabric Integration in Contemporary Mural Art 36717.2.6.1 The Light Weaver by Studio Drift (2018) 36717.2.6.2 The Singing Wall by TeamLab (2018) 36817.2.6.3 The Breathing Wall by Viktoria Modesta (2019) 36817.2.6.4 The Interactive Wall by Refik Anadol (2019) 36817.3 Importance of Traditional Art Forms in the Museum 37017.3.1 Embroidery and Textiles 37017.3.2 Calligraphy and Manuscripts 37117.3.3 Potential for Smart Fabric Integration in the Museum’s Exhibits 37117.3.3.1 Ancient Civilizations 37217.3.3.2 Classical Antiquity 37217.3.3.3 Medieval and Renaissance Periods 37317.3.3.4 Modern and Contemporary Era 37317.3.3.5 Sensing Capabilities 37317.3.3.6 Lighting and Illumination 37417.3.3.7 Communication and Connectivity 37417.3.3.8 Thermal Regulation 37417.3.3.9 Biomedical and Healthcare Applications 37417.4 Integration of Smart Fabrics in Mural Art 37517.4.1 Integration of Smart Fabrics in Mural Art at the Virasat-e-Khalsa Museum 37617.5 Conclusion 378Bibliography 37918 Non-Invasive Blood Sugar Detection 381Abhishek Kumar and Vishal Gupta18.1 Introduction 38118.1.1 Invasive Method 38218.1.2 Non-Invasive Method 38318.2 Sweat Composition 38318.2.1 Sweat-Based Glucose Monitoring 38418.2.1.1 Sweat Sensors 38418.3 Experiment 38618.4 Challenges 38918.5 Pros and Cons 39018.5.1 Pros 39018.5.2 Cons 39018.6 Conclusion 391References 39119 A Fast Scalable and Pipelined VLSI Transform Architecture for Walsh-Hadamard 393Sudip Ghosh and Suman Lata Tripathi19.1 Introduction and Related Works 39419.2 Mathematical Background 39719.3 Proposed Algorithm for HVMA 39819.4 Pseudo-Code for Generic Algorithm 40519.5 Description of Generic Algorithm 40819.6 Analysis and Discussion 41019.7 Datapath and Controller 41219.8 Experimental Results 41519.9 Conclusion and Scope of Future Work 417References 418Index 421

Jyotirmoy Pathak, PhD, is a professor at Christ University, Bengaluru, India and serves on several editorial review boards. He has authored over 20 research papers, five book chapters, and one book that have been internationally published. His research interests include side channel attack, VLSI design, low power architecture, memory design, data converters, and cryptology. Abhishek Kumar, PhD, is an associate professor at Lovely Professional University, Punjab, India, and editorial board member for various international journals and conferences. He has published over 30 research papers in referred journals and presented 18 research papers at international conferences. Additionally, he has published five books and 12 book chapters internationally. His areas of expertise include VLSI design, low-power architecture, memory design, data converters, cryptology, and side channel attack. Suman Lata Tripathi, PhD, is a professor at Lovely Professional University, Punjab, India with over seventeen years of scholarly experience. She has published over 45 research papers in refereed journals and conferences, as well as six books. She has orchestrated several student seminars, summer apprenticeships, and lectures by subject matter experts. Her research interests include modelling and characterization of microelectronics devices, design of low power VLSI circuits, VLSI testing designs, advanced FET designs for the Internet of Things, embedded system design, and biomedical applications. Balwinder Raj, PhD, is an associate professor in the Electronics and Communication Engineering Department, Dr. B.R. Ambedkar National Institute of Technology Jalandhar, Punjab, India. He has published over 100 research papers in national and international journals and conferences. His areas of interest include nanoscale semiconductor device modeling, sensors design, FinFET- based memory design, and low-power VLSI design.

• Preface xxi1 History of Smart Textiles and Wearables 1K. Jothimani, S. Hemalatha, S. Selvaraj and R. Thangarajan1.1 Introduction 21.2 Early Concepts and Historical Background 21.2.1 Incorporation of Technology in Textiles: Ancient Practices 31.2.2 Industrial Revolution and Textile Mechanization 41.2.3 Emergence of Functional Textiles 51.3 Advancements in Materials and Technologies 61.3.1 Conductive Fabrics and Fibers 71.3.2 Flexible Electronics and Sensors 81.3.3 Energy Harvesting and Power Management 91.4 Evolution of Wearable Technologies 91.4.1 Early Prototypes and Limitations 101.4.1.1 Limitations of Early Prototypes 101.4.2 Miniaturization and Integration 111.4.3 User Experience Enhancements 121.5 Key Milestones and Innovations 121.5.1 Wearable Fitness Trackers 121.5.1.1 Working Details of Fitness Tracker 141.5.2 Smart Clothing for Medical Monitoring 161.5.3 Fashion-Tech Collaborations 161.5.4 Role of Data Analytics and Connectivity 171.5.4.1 IoT and Smart Textile Integration 181.5.4.2 Artificial Intelligence in Wearables 181.5.4.3 Data Privacy and Security Concerns 191.5.5 Current Trends and Future Prospects 201.5.5.1 Augmented Reality and Virtual Reality Applications 201.5.5.2 Environmental Sensing and Sustainability Efforts 211.5.5.3 Challenges and Opportunities for Further Research 221.5.5.4 Opportunities 231.6 Conclusion 24References 252 Smart Textiles in Healthcare 27Harpreet Kaur Channi, Surinder Kaur and Ramandeep Sandhu2.1 Introduction 282.2 Importance of Smart Textiles In Healthcare 292.3 Evolution of Smart Textiles in Healthcare 312.4 Fabrication and Integration of Sensors in Smart Textiles 332.4.1 Applications of Smart Textiles in Healthcare 352.5 Key Technologies in Smart Textiles 372.5.1 Continuous Health Monitoring 382.5.2 Enhanced Patient Comfort and Compliance 402.6 Remote Patient Monitoring 412.7 Challenges and Considerations 442.8 Case Studies and Examples 462.8.1 University of Pittsburgh Medical Center (UPMC) Health Plan 462.8.2 University of California San Francisco’s Chronic Disease Management Program 472.8.3 Partners HealthCare’s Post-Acute Care Remote Monitoring Program 482.8.4 University of Mississippi Medical Center’s Telepsychiatry Program 482.9 Future Directions and Opportunities 482.9.1 Opportunities for Research and Development 502.9.2 Potential Impact on Healthcare Delivery 522.10 Conclusion 53References 543 Smart Textiles and Its Application in the Healthcare Sector 59Surabhi Das, C. Manjulatha, Desu Surya Tejaswi, Kanchan Bisht and Anita Rani3.1 Introduction 603.2 Monitoring of Physiological Characteristics 613.2.1 Cardiovascular Activity 623.2.2 Electrodermal Activity 623.2.2.1 Breathing 633.2.2.2 Blood Pressure 633.2.2.3 Body Movement 633.3 Distribution of Body Fluids and Investigation of Perspiration 643.4 Concentration of Blood Oxygen 653.5 Applications and Trends for Healthcare Sectorin Smart Textiles 653.5.1 Difficulties Faced by Smart Textiles in Healthcare Sector 673.5.2 Fit and Comfort 673.5.3 Utilization Simplicity 683.5.4 Approval From the Medical Community 683.5.5 Ethics 693.5.6 Side Effects of Smart Wearable Textile Materials 693.6 Conclusion 70References 704 Bio-Integrated Fabrics: A Comprehensive Look at Smart Textiles for Enhanced Healthcare 73Devender Kumar and Seema Mishra4.1 Introduction 744.2 Background 754.2.1 Technical Perspective 754.2.2 Applications and Future Directions 764.3 Revolutionizing Healthcare: Core Applications of Bio-Integrated Fabrics 784.3.1 Continuous Health Monitoring 794.3.2 Rehabilitation and Physical Therapy 794.3.3 Wearable Therapeutics 794.3.3.1 Thermal Therapy 804.3.3.2 Patient Monitoring in Clinical Settings 804.3.3.3 Elderly Care and Assisted Living 804.4 Beyond Applications: Unveiling the Technical Aspects 804.4.1 Materials and Conductive Fibers 814.4.2 Sensor Integration 814.4.3 Flexible Electronics 814.4.4 Energy Harvesting and Storage 824.4.5 Data Processing and Communication 824.5 Challenges and Considerations for Widespread Adoption 824.5.1 Technical Challenges 854.5.1.1 Durability and Washability 854.5.1.2 Power Supply and Energy Efficiency 854.5.1.3 Signal Interference and Data Integrity 854.5.2 Economic Challenges 854.5.2.1 High Production Costs 854.5.2.2 Market Acceptance and Adoption 864.5.3 Regulatory and Ethical Challenges 864.5.3.1 Regulatory Approval 864.5.3.2 Data Privacy and Security 864.5.4 Social and Ethical Considerations 864.5.4.1 User Comfort and Acceptance 864.5.4.2 Accessibility and Equity 874.5.5 Side Effects 874.5.5.1 Skin Sensitivities 884.5.5.2 Sleep Disruption 884.5.5.3 Data Overload and Privacy Concerns 884.5.5.4 Overdependence and Obsession on Metrics 884.6 Conclusion: The Future of Healthcare is Woven with Smart Textiles 89References 895 Printed Flexible Wearable Sensor for Monitoring of Biological Parameters and Disease Management 93S. Saranya, S. Suresh Kumar, Y. Nandakishora and S. Prasad Jones Christydass5.1 Introduction of Biomarkers and Biosensors 945.2 Working of Biosensor 955.3 Biomarker 955.3.1 Biomarker in Clinical Trials 965.4 Classification of Biomarkers Based on Clinical Trials 975.4.1 Diagnostic Biomarker 985.4.2 Predictive Biomarker 995.4.3 Prognostic Biomarker 1005.4.4 Staging Biomarker 1005.5 Classification Based on Characteristics 1015.5.1 Molecular Biomarkers 1015.5.1.1 Chemical Biomarkers 1015.5.1.2 Biomarkers for Proteins 1015.5.1.3 Genetic Biomarkers 1025.5.2 Cellular Biomarkers 1025.5.3 Imaging Biomarkers 1035.6 Wearable Sensors 1045.6.1 Devices for Detecting Biological Fluids 1055.6.1.1 Glucose Sensors 1055.6.1.2 Lactate Sensors 1065.6.1.3 pH Sensors 1075.6.1.4 Cholesterol 1085.7 Physiological Activities and External Stimuli 1095.7.1 Pulse Rate 1095.7.2 Respiration 1105.7.3 Diabetic Detection with Acetone 1105.7.4 Alcohol Level Detection 1115.7.5 Hydration/Dehydration 1125.7.6 Temperature 1125.7.7 Tracking of Movements and Activities 1135.7.8 Strain and Pressure 1135.7.9 Gas Sensors 1145.8 Applications of Sensors 1145.8.1 Glove Immunosensor 1155.8.2 Sweat Biomarkers 1165.8.2.1 Electrochemical Biosensors 1165.8.2.2 Sweat Biomarkers for Chronic Disease Detection 1175.8.2.3 Hepatitis B Amperometric Immunosensor 1175.9 Conclusion 118References 1196 Smart Wound Guard 121Nagaraj S.6.1 Introduction 1216.1.1 Background and Significance of Chronic Wounds 1216.1.2 Limitations of Traditional Wound Care Methods 1226.1.3 Emergence of Wearable Electronics in Healthcare 1226.1.4 Objective of the Chapter 1226.2 Literature Review 1226.3 Design and Development of Wearable Plaster 1246.3.1 Selection of Materials and Components 1246.3.2 Sensor Integration for Real-Time Monitoring 1256.3.3 Development of Automatic Drug Delivery System 1266.3.4 Customization for Individual Patient Needs 1266.3.5 Prototype Development Process 1276.3.6 Analysis of Sensed Molecules 1286.3.6.1 PH Monitoring 1286.3.6.2 Glucose Monitoring 1286.3.6.3 Protein Monitoring 1296.4 Implementation and Testing 1296.4.1 Evaluation of Sensor Accuracy and Reliability 1296.4.2 Pilot Study Design and Methodology 1306.4.3 Data Collection and Analysis 1306.4.4 Assessment of Wearable Plaster Performance 1306.5 Advanced Features and Environmental Sustainability 1316.5.1 Self-Powered Operation 1316.5.2 Real-Time Alerts and Suggestions 1316.5.3 Autonomous Medication Delivery 1316.5.4 Eco-Friendly Design 1326.5.5 Reducing Healthcare Costs 1326.6 Flexibility and Sustainability 1326.6.1 Sensors 1336.6.2 Antenna 1346.6.3 Solar Panel 1346.6.4 Outer Layer 1346.7 Conclusion 135References 1367 Integration of Artificial Intelligence and Machine Learning into Wearable Health Technologies 137Balraj Kumar7.1 Introduction 1387.1.1 Types of Wearable Health Technologies 1397.1.2 Key Features and Functions 1397.1.3 Benefits of Wearable Health Technologies 1407.2 AI and ML in Healthcare 1417.3 Role of AI and ML in Wearable Health Technologies 1437.4 Examples of AI and ML Methods in Wearable Health Solutions 1467.5 Case Study 1477.5.1 Case Study: Real-Time Health Monitoring with Wearable Devices 1477.5.1.1 Challenge 1477.5.1.2 Objectives 1477.5.1.3 Implementation 1487.5.1.4 Results 1497.6 Challenges of AI AND ML Integration into Wearable Health Technologies 1507.7 Resolving the Hurdles of AI and ML Integration in Wearable Health Technologies 1527.8 Research Roadmap of Future 1537.9 Conclusion 154References 1558 Empowering Health: The Fusion of AI and Machine Learning in Wearable Technologies 159Yerumbu Nandakishora, S. Prasad Jones Christydass, K. V. J. Bhargav and S. Suresh Kumar8.1 Introduction 1608.2 HAR Using Traditional ML and DL Algorithms 1638.3 Profile Similarity–Based Personalized Federated Learning (PS-PFL) for Healthcare 1688.4 A Wearable Posture Recognition Device Using AI for Healthcare IoT 1708.5 AI-Enhanced Posture Recognition for Healthcare Wearables by IoT 1738.6 Conclusions 178References 1799 Human–Computer Interaction in Wearable Health Technologies 183S. Hemalatha, K. Jothimani, Thangarajan R. and S. Selvaraj9.1 Introduction 1849.1.1 Background 1849.1.2 Significance of HCI in Wearable Health Technologies 1849.1.2.1 User-Centered Design 1849.1.2.2 Intuitive Interfaces 1849.1.2.3 Data Visualization and Interpretation 1859.1.2.4 Adherence and Engagement 1859.1.2.5 Privacy and Trust 1859.1.2.6 Integration and Interoperability 1859.1.3 Objectives of the Chapter 1859.1.4 Overview of Wearable Health Technologies 1869.1.5 Multimodal Fusion 1889.2 Human–Computer Interaction (HCI) Fundamentals (SH) 1889.2.1 Principles of HCI in Healthcare 1889.2.2 Importance of UX Design in Wearable Health Technologies 1909.2.3 HCI Design Process Overview 1909.3 Prototyping and Iterative Design Approaches 1919.4 User-Centered Design in Wearable Health Technologies 1929.4.1 Understanding User Needs and Context 1929.4.1.1 User Research and Profiling 1929.4.1.2 Understanding User Contexts 1929.4.1.3 Usability and Accessibility Considerations 1939.4.1.4 Integration with Existing Routines and Workflows 1939.4.1.5 Iterative Design and User Feedback 1939.4.2 Designing for Accessibility and Inclusivity 1939.4.3 Prototyping and Iterative Design Approaches 1949.4.3.1 Prototyping 1949.4.3.2 Iterative Design Process 1959.5 Usability Testing and Evaluation 1969.5.1 Usability Metrics and Evaluation Methods 1969.6 Conducting Usability Studies with Wearable Devices 1979.7 Analyzing and Interpreting Usability Data 1989.8 Feedback Mechanisms and User Engagement 2009.8.1 Importance of Real-Time Feedback in Health Monitoring 2009.8.2 Designing Effective Feedback Systems 2019.8.3 Gamification and Behavioral Strategies for User Engagement 2019.9 Personalization Strategies 2039.9.1 Adaptive Systems and Machine Learning in Personalization 2049.9.2 Ethical Considerations in Personalized Health Technologies 2059.10 Challenges and Future Directions 2069.10.1 Data Privacy and Security Concerns 2069.10.2 Interdisciplinary Collaboration in HCI for Health Technologies 2079.10.3 Emerging Technologies and Trends in Wearable Health 2089.11 Case Studies and Examples 2089.11.1 Case Study 1: Wearable Fitness Tracker UX Design 2089.11.2 Case Study 2: Remote Health Monitoring System 2109.11.3 Lessons Learned and Best Practices 2119.12 Conclusion and Recommendations 2119.12.1 Summary of Key Points 2119.12.2 Implications for Research and Practice 2119.12.3 Future Directions in HCI for Wearable Health Technologies 212References 21210 Classification of Emotions from EEG Signals with Optimization Algorithms and Deep Learning Approaches 215Y. Sowjanya Kumari, D.N.V. Syma Kumar and V. Venkata Praveen Kumar10.1 Introduction 21610.1.1 Acquisition of EEG Signals by the Brain 21710.1.2 EEG Signal Processing 21810.2 Related Work 21910.3 Proposed Work 22010.3.1 Particle Swarm Optimization (PSO) 22010.3.1.1 Key Elements of PSO 22110.3.1.2 Procedural Steps of PSO 22210.4 Lstm 22310.5 Gru 22710.6 Proposed Methodology 23010.6.1 Procedure 1 23010.6.2 Procedure 2 23010.7 Results and Discussions 23110.7.1 Confusion Matrix 23210.7.2 Precision, Recall, F1-Score, and Support 23210.8 Conclusion 234Data Availability 234References 23511 Wearable Devices for Injury Prevention and Rehabilitation 239Vishnu Mittal, Pushkar Upadhyay and Anjali Sharma11.1 Introduction 24011.1.1 Generalization of Human Physiological Parameters 24311.1.2 Forecasting Running Injuries and Efficiency Using Wearable Technology 24411.1.3 Transduction Systems for Body Parameter Measurement 24511.2 Why are Wearable Devices Better 24711.3 Case Study and Real-World Instances of Wearable Technology 24911.3.1 Case Study 1: Tracking Health Indicators 24911.3.2 Case Study 2: Monitoring Sports Performance 24911.3.3 Case Study 3: Controlling Athletes in the Weight Room 25011.3.4 Case Study 4: Tracking Sleep 25011.3.5 Case Study 5: Remote Monitoring Systems 25111.3.6 Case Study 6: Mobile Phone Technology 25211.3.7 Case Study 7: Integrating Physiological Monitoring 25211.3.8 Case Study 8: Bio-Chemical Sensors 25311.3.9 Case Study 9: Medical Alert System 25311.3.10 Case Study 10: Health and Wellness Monitoring 25411.3.11 Case Study 11: Smart Home Projects 25411.4 Conclusions and Future Directions 255References 25612 Muscles in Motion: Wearables for Sports and Fitness 263Pushkar Upadhyay, Vishnu Mittal and Rameshwar Dass12.1 Introduction 26412.2 Understanding Muscle Movement 26712.2.1 Types of Muscles (Skeletal, Smooth, and Cardiac) 26712.2.1.1 Striated Muscle 26712.2.1.2 Smooth Muscle 26812.2.2 Muscle Structure and Function 26812.3 Wearable Technology in Sports and Fitness 26912.3.1 Evolution of Wearables in Sports and Fitness 26912.3.2 Wearable Tools for Monitoring Physiological Data During Exercise 26912.4 Types of Wearable Devices 27012.4.1 Movement Pattern and Velocity Tracking Using Inertial Measurement Units (IMUs) 27012.4.2 Technological Developments in Force Sensing for Improved Force Measurement 27112.4.3 Precise Foot Pressure Analysis by Pressure Sensors 27212.5 Applications of Wearables in Sports and Fitness 27212.5.1 Mechanomyogram (EMG) Method 27312.5.2 Autonomic Nervous System (ANS) Correlation 27412.5.3 Machine Learning Technique 27512.5.4 Injury Prevention and Rehabilitation 27512.5.5 OptimEye S 5 27612.5.6 FIT Guard 27612.5.7 Zephyr Performance Systems 27612.5.8 The Q-Collar 27712.5.9 Threshold Limit Sensors 27712.5.10 Smart-Foam 27712.5.11 Wearable Footwear and Accessories 27812.6 Challenges and Future Directions 27812.6.1 Difficulties in Applying Wearable Technology to Resistance Training Research 27812.6.1.1 Accuracy and Reliability of Measurements 27812.6.1.2 Validation and Standardization of Wearable Technology 27912.6.2 Ethical Considerations and Privacy Concerns 27912.7 Conclusion 280References 28113 Evolution of Wearable Technology in Sports and Fitness 289Kanchan Bisht, Desu Surya Tejaswi, C. Manjulatha, Surabhi Das and Yogitha Gunupuru13.1 Introduction 29013.1.1 History of Wearable Technology 29013.1.2 Key Features and Functionalities of Wearable Technologies 29113.2 Types of Wearable Technologies 29213.3 Applications of Wearable Technologies in Sports and Fitness 29313.3.1 Performance Monitoring 29413.3.1.1 Running and Cycling 29413.3.1.2 Team Sports 29413.3.2 Injury Prevention 29513.3.2.1 Smart Insoles 29513.3.2.2 Motion Sensors 29513.3.3 Recovery Enhancement 29513.3.3.1 WHOOP Strap 29613.3.3.2 Oura Ring 29613.3.4 Personalized Training 29613.3.4.1 Training Apps 29613.3.4.2 Smart Equipment 29613.3.5 Real-Time Feedback 29713.3.5.1 Cycling 29713.3.5.2 Swimming 29713.4 Benefits of Wearable Technologies 29713.4.1 Enhanced Performance 29813.4.2 Improved Health and Well-Being 29813.4.3 Data-Driven Decisions 29813.4.4 Increased Motivation 29913.5 Challenges and Limitations 29913.5.1 Data Accuracy 29913.5.2 Privacy Concerns 30013.5.3 Cost and Accessibility 30013.6 Future Trends in Wearable Technologies 30113.6.1 Integration with AI and Machine Learning 30113.6.2 Advanced Biometric Monitoring 30113.6.3 Enhanced Connectivity 30113.6.4 Virtual and Augmented Reality 30213.6.5 Sustainable and Eco-Friendly Wearables 30213.7 Conclusion 303References 30314 Architecture, Material, Process, and Application of Bio-FETs 307Yapashetti Rajinikanth, Suman Lata Tripathi and Sandhya Avasthi14.1 Introduction 30814.2 Literature Review 30914.3 Architecture of Bio-FET 31014.4 Bio-FET Mechanism of Operation 31014.5 Bio-FET Working Principle 31014.6 Bio-FET Types and Fabrication Steps 31114.7 Optimization 31214.8 Material Specification 31214.9 Applications of Bio-FET 31414.9.1 Clinical Investigations 31414.9.2 Environmental Assessment 31414.9.3 Food Consumption 31414.9.4 Biological Research 31414.9.5 Treatments 31514.9.6 Individual Therapy 31514.10 Conventional MOSFET Comparison 31514.10.1 Organization and Function 31514.10.2 Specifics and Sensitivities 31514.10.3 Resources 31514.10.4 Supplies 31614.10.5 Integration 31614.11 Advanced FET Architectures as Biosensor 31614.12 Challenges and Future Scope 31814.13 Conclusion 318References 31915 Future Directions and Innovations in Wearable Technologies 321Payal Bansal, Sudev Dutta and Murugan K.15.1 Introduction 32215.2 Empowering Wearables 32315.3 Piezoelectric Wearable Technology 32515.3.1 Harvesting Energy from Human Motion 32715.3.2 Piezoelectric-Pressure Radars 32915.3.3 Wearable Medical Sensors 33015.4 Triboelectric Wearables 33115.5 Electromagnetic Sensors 33215.6 Thermal-Based Sensors 33315.7 Comparison of Wearable Sensors 33415.8 Conclusions 335References 33616 Future Horizons: Exploring the Evolution of Wearable and Flexible Health Devices 343Himanshu Sharma, Pooja Mittal, Gurdev and Vishnu Mittal16.1 Introduction 34416.2 Characteristics of Wearable Technologies 34516.3 Types of Wearable Technologies 34616.3.1 Wearable Health Technology 34616.3.2 Wearable Textile Technologies 34716.3.3 Wearable Consumer Electronics 34816.4 Review of Wearable Technologies in Healthcare 34816.4.1 Example of a Product on the Market 35216.4.2 The Approach of Wearable Technology 35416.4.3 The Public and Personal Safety 35516.4.4 Business 35616.4.5 Research 35616.4.6 Production 35616.4.7 Sales 35616.4.8 Service 35716.4.9 Tourism 35716.4.10 People with Impairments 35716.4.11 Health 35816.4.12 Entertainment 35816.5 Conclusion 358References 35917 Threads of Creativity: Exploring Smart Fabric Integration in Contemporary Mural Art 363Prabhjot Kaur and Rohita Sharma17.1 Introduction 36317.2 Smart Fabric Integration 36517.2.1 The Benefits of Smart Fabric Integration 36517.2.2 Challenges and Considerations 36617.2.3 Technical Complexity 36617.2.4 Maintenance and Durability 36617.2.5 Privacy and Security 36617.2.6 Examples of Smart Fabric Integration in Contemporary Mural Art 36717.2.6.1 The Light Weaver by Studio Drift (2018) 36717.2.6.2 The Singing Wall by TeamLab (2018) 36817.2.6.3 The Breathing Wall by Viktoria Modesta (2019) 36817.2.6.4 The Interactive Wall by Refik Anadol (2019) 36817.3 Importance of Traditional Art Forms in the Museum 37017.3.1 Embroidery and Textiles 37017.3.2 Calligraphy and Manuscripts 37117.3.3 Potential for Smart Fabric Integration in the Museum’s Exhibits 37117.3.3.1 Ancient Civilizations 37217.3.3.2 Classical Antiquity 37217.3.3.3 Medieval and Renaissance Periods 37317.3.3.4 Modern and Contemporary Era 37317.3.3.5 Sensing Capabilities 37317.3.3.6 Lighting and Illumination 37417.3.3.7 Communication and Connectivity 37417.3.3.8 Thermal Regulation 37417.3.3.9 Biomedical and Healthcare Applications 37417.4 Integration of Smart Fabrics in Mural Art 37517.4.1 Integration of Smart Fabrics in Mural Art at the Virasat-e-Khalsa Museum 37617.5 Conclusion 378Bibliography 37918 Non-Invasive Blood Sugar Detection 381Abhishek Kumar and Vishal Gupta18.1 Introduction 38118.1.1 Invasive Method 38218.1.2 Non-Invasive Method 38318.2 Sweat Composition 38318.2.1 Sweat-Based Glucose Monitoring 38418.2.1.1 Sweat Sensors 38418.3 Experiment 38618.4 Challenges 38918.5 Pros and Cons 39018.5.1 Pros 39018.5.2 Cons 39018.6 Conclusion 391References 39119 A Fast Scalable and Pipelined VLSI Transform Architecture for Walsh-Hadamard 393Sudip Ghosh and Suman Lata Tripathi19.1 Introduction and Related Works 39419.2 Mathematical Background 39719.3 Proposed Algorithm for HVMA 39819.4 Pseudo-Code for Generic Algorithm 40519.5 Description of Generic Algorithm 40819.6 Analysis and Discussion 41019.7 Datapath and Controller 41219.8 Experimental Results 41519.9 Conclusion and Scope of Future Work 417References 418Index 421