Suparna Biswas – författare

This book presents research into the domain of Human Activity Recognition (HAR) and Fall Detection (FD), with a focus on the seamless monitoring and support of elderly people. The author shows how current HAR and FD technologies have application in disease monitoring, prediction and identification, as well real-time facilitating early diagnosis of symptom-based disease identification, prediction, and detection. The author discusses existing infrastructure that supports this ecosystem, comprising smartphones, WiFi, 3G/4G Internet connectivity, and low-cost wearable sensors for sustainable health monitoring and care. The book presents smart technologies such as machine learning, deep learning, and Internet of Things that are applied for sensor data analysis and knowledge extraction towards accurate identification of activities and fall events with pre-fall postures in real time. The author also shows how smart and seamless health monitoring and care ecosystem fits with traditional healthcare system for sustainable solutions.Presents smart technologies for sustainable health monitoring and care targeted for the elderly;Discusses techniques for privacy surrounding Human Activity Recognition (HAR) and Fall Detection (FD);Includes case studies, scenario-based studies, sponsored projects, prototypes and successful applications.

This book presents research into the domain of Human Activity Recognition (HAR) and Fall Detection (FD), with a focus on the seamless monitoring and support of elderly people. The author shows how current HAR and FD technologies have application in disease monitoring, prediction and identification, as well real-time facilitating early diagnosis of symptom-based disease identification, prediction, and detection. The author discusses existing infrastructure that supports this ecosystem, comprising smartphones, WiFi, 3G/4G Internet connectivity, and low-cost wearable sensors for sustainable health monitoring and care. The book presents smart technologies such as machine learning, deep learning, and Internet of Things that are applied for sensor data analysis and knowledge extraction towards accurate identification of activities and fall events with pre-fall postures in real time. The author also shows how smart and seamless health monitoring and care ecosystem fits with traditional healthcare system for sustainable solutions.Presents smart technologies for sustainable health monitoring and care targeted for the elderly;Discusses techniques for privacy surrounding Human Activity Recognition (HAR) and Fall Detection (FD);Includes case studies, scenario-based studies, sponsored projects, prototypes and successful applications.

This book offers a comprehensive exploration of artificial intelligence's transformative impact on the healthcare sector as it relates to SDG #3: Good Health and Well-Being, highlighting its potential to revolutionize traditional practices. It delves into the integration of AI across various facets of healthcare, from data collection and processing to diagnostic algorithms and predictive analytics. Designed as an essential resource, it serves researchers, clinicians, technologists, and policymakers eager to harness AI to improve patient outcomes and system efficiency. The chapters present a diverse array of AI applications, bridging foundational research with cutting-edge innovations. Readers will encounter intelligent frameworks for healthcare data, multimodal disease analysis techniques, and advanced clinical decision support systems. The volume also explores transformative technologies like augmented reality for patient care, AI-powered prosthetics, and IoT-enabled real-time monitoring. Emphasizing patient-centric advancements, it discusses personalized care through AI, conversational agents, and secure architectures for 5G-enabled healthcare ecosystems. Ideal for researchers and postgraduate students in AI, computer vision, and related fields, this book provides modern techniques, tools, and case studies for practical implementation. As AI continues to redefine healthcare boundaries, this volume inspires responsible innovation and collaborative progress, encouraging readers to engage critically and contribute to ethical AI deployment in healthcare.

This book offers a comprehensive exploration of artificial intelligence's transformative impact on the healthcare sector as it relates to SDG #3: Good Health and Well-Being, highlighting its potential to revolutionize traditional practices. It delves into the integration of AI across various facets of healthcare, from data collection and processing to diagnostic algorithms and predictive analytics. Designed as an essential resource, it serves researchers, clinicians, technologists, and policymakers eager to harness AI to improve patient outcomes and system efficiency. The chapters present a diverse array of AI applications, bridging foundational research with cutting-edge innovations. Readers will encounter intelligent frameworks for healthcare data, multimodal disease analysis techniques, and advanced clinical decision support systems. The volume also explores transformative technologies like augmented reality for patient care, AI-powered prosthetics, and IoT-enabled real-time monitoring. Emphasizing patient-centric advancements, it discusses personalized care through AI, conversational agents, and secure architectures for 5G-enabled healthcare ecosystems. Ideal for researchers and postgraduate students in AI, computer vision, and related fields, this book provides modern techniques, tools, and case studies for practical implementation. As AI continues to redefine healthcare boundaries, this volume inspires responsible innovation and collaborative progress, encouraging readers to engage critically and contribute to ethical AI deployment in healthcare.

This book provides an exploration of secure and intelligent applications using the Internet of Things (IoT), focusing on the latest techniques that combine artificial intelligence (AI), lightweight cryptography, and security frameworks for human-centric applications as emphasized in Society 6.0, which expands this idea toward a human-centered, sustainable, and resilient future. The book offers readers a blend of theoretical foundations, cutting-edge algorithms, and real-world implementations designed to safeguard IoT systems in critical domains such as smart healthcare, precision agriculture, security and surveillance, disaster prediction and monitoring, and environmental monitoring etc. Key topics include recent advancements in lightweight cryptography tailored for constrained IoT devices, AI and machine learning-based intrusion detection systems, and the application of federated and split learning for privacy-preserving anomaly detection. This book is designed for researchers, faculty members, graduate students, security professionals, and developers who are interested in the intersection of IoT, artificial intelligence, and cybersecurity.

This book provides both the developers and the users with an awareness of the challenges and opportunities of advancements in healthcare paradigm with the application and availability of advanced hardware, software, tools, technique or algorithm development stemming the Internet of Things. The book helps readers to bridge the gap in their three understanding of three major domains and their interconnections: Hardware tested and software APP development for data collection, intelligent protocols for analysis and knowledge extraction. Medical expertise to interpret extracted knowledge towards disease prediction or diagnosis and support. Security experts to ensure data correctness for precise advice. The book provides state-of-the-art overviews by active researchers, technically elaborating healthcare architectures/frameworks, protocols, algorithms, methodologies followed by experimental results and evaluation. Future direction and scope will be precisely documented for interested readers.

This book provides both the developers and the users with an awareness of the challenges and opportunities of advancements in healthcare paradigm with the application and availability of advanced hardware, software, tools, technique or algorithm development stemming the Internet of Things. The book helps readers to bridge the gap in their three understanding of three major domains and their interconnections: 

Hardware tested and software APP development for data collection, intelligent protocols for analysis and knowledge extraction. 

Medical expertise to interpret extracted knowledge towards disease prediction or diagnosis and support. Security experts to ensure data correctness for precise advice. 

The book provides state-of-the-art overviews by active researchers, technically elaborating healthcare architectures/frameworks, protocols, algorithms, methodologies followed by experimental results and evaluation. Future direction and scope will be precisely documented for interested readers.

This book provides both the developers and the users with an awareness of the challenges and opportunities of advancements in healthcare paradigm with the application and availability of advanced hardware, software, tools, technique or algorithm development stemming the Internet of Things. The book helps readers to bridge the gap in their three understanding of three major domains and their interconnections: Hardware tested and software APP development for data collection, intelligent protocols for analysis and knowledge extraction. Medical expertise to interpret extracted knowledge towards disease prediction or diagnosis and support. Security experts to ensure data correctness for precise advice. The book provides state-of-the-art overviews by active researchers, technically elaborating healthcare architectures/frameworks, protocols, algorithms, methodologies followed by experimental results and evaluation. Future direction and scope will be precisely documented for interested readers.

This book aims to trace the evolution of computer networks from their inception to their current advanced forms, highlighting key characteristics, issues, and challenges associated with widely used modern networks. It provides a comprehensive introduction and overview of advanced network fundamentals, effectively demonstrated through architecture, protocols, security, and contemporary applications. The book addresses performance-related concerns such as security, trust, privacy, fault tolerance, energy efficiency, and routing, examined from the perspective of specific network types and applications. It is enriched with case studies and prototype developments of smart applications, including architecture, algorithm modeling, and implementation, offering readers both theoretical insights and practical understanding. Each chapter includes a dedicated problem section featuring brainstorming exercises designed to encourage readers to explore and build a complete understanding of the subject matter, both in terms of study and application. This approach aims to make the book more engaging and intellectually stimulating for readers.