B.G.D.A. Madhusanka – författare

This book focuses on the artificial neural network-based system for gaze-based communication. It covers the feasible and practical collaboration of human–computer interaction (HCI) in which a user can intuitively express tasks using gaze-based communication. It will target the vast applications of gaze-based communication using computer vision, image processing, and artificial intelligence.Artificial Intelligence-Based System for Gaze-Based Communication introduces a novel method to recognize the implicit intention of users by using nonverbal communication in combination with computer vision technologies. A novel HCI framework is developed to enable implicit and intuitive gaze-based intention communications. This framework allows the users to intuitively express their intention using natural gaze cues. The book also focuses on robot caregiving technology, which can understand the user’s intentions using minimal interactions with the user. The authors examine gaze-based tracking applications for the assisted living of elderly people. The book examines detailed applications of eye-gaze communication for real-life problems. It also examines the advantages that most people can handle gaze-based communications because it requires very little effort, and most of the elderly and impaired can retain visual capability.This book is ideally designed for students, researchers, academicians, and professionals interested in exploring and implementing gaze-based communication strategies and those working in the field of computer vision and image processing.

This book focuses on the artificial neural network-based system for gaze-based communication. It covers the feasible and practical collaboration of human–computer interaction (HCI) in which a user can intuitively express tasks using gaze-based communication. It will target the vast applications of gaze-based communication using computer vision, image processing, and artificial intelligence.Artificial Intelligence-Based System for Gaze-Based Communication introduces a novel method to recognize the implicit intention of users by using nonverbal communication in combination with computer vision technologies. A novel HCI framework is developed to enable implicit and intuitive gaze-based intention communications. This framework allows the users to intuitively express their intention using natural gaze cues. The book also focuses on robot caregiving technology, which can understand the user’s intentions using minimal interactions with the user. The authors examine gaze-based tracking applications for the assisted living of elderly people. The book examines detailed applications of eye-gaze communication for real-life problems. It also examines the advantages that most people can handle gaze-based communications because it requires very little effort, and most of the elderly and impaired can retain visual capability.This book is ideally designed for students, researchers, academicians, and professionals interested in exploring and implementing gaze-based communication strategies and those working in the field of computer vision and image processing.

This book provides a comprehensive overview of the use of vision attentive technology and artificial intelligence methodologies for functional mobility assessment in elderly populations.Vision Attentive Technology and Functional Mobility Assessment in Elderly Healthcare, begins with a general introduction to vision-attentive technology and its uses in the care of older people. Next it examines functional mobility in senior populations and offers a critique of the methods used today for evaluation. The authors then present several artificial intelligence approaches and vision-aware systems used for screening age related diseases such as Parkinson's disease and sarcopenia. The book also presents the difficulties and possibilities of using visual attentive technology to identify functional impairments caused by aging.This book would be helpful to researchers in the field of healthcare, especially those interested in using technology to enhance patient outcomes. Geriatricians, physical therapists, and occupational therapists who treat older patients will also benefit from reading this book. It will also be helpful to readers who are studying biomedical engineering, artificial intelligence, and healthcare.

This book provides a comprehensive overview of the use of vision attentive technology and artificial intelligence methodologies for functional mobility assessment in elderly populations.Vision Attentive Technology and Functional Mobility Assessment in Elderly Healthcare, begins with a general introduction to vision-attentive technology and its uses in the care of older people. Next it examines functional mobility in senior populations and offers a critique of the methods used today for evaluation. The authors then present several artificial intelligence approaches and vision-aware systems used for screening age related diseases such as Parkinson's disease and sarcopenia. The book also presents the difficulties and possibilities of using visual attentive technology to identify functional impairments caused by aging.This book would be helpful to researchers in the field of healthcare, especially those interested in using technology to enhance patient outcomes. Geriatricians, physical therapists, and occupational therapists who treat older patients will also benefit from reading this book. It will also be helpful to readers who are studying biomedical engineering, artificial intelligence, and healthcare.

This book combines modern Artificial Intelligence (AI) and inclusive education learning systems methodologies. The book also provides an extensive discussion and methodologies related to STEM education to enhance future educational opportunities.Inclusive Education: STEM in the Age of Modern AI explores and provides an educational support system for students with special needs within the STEM education framework. The book is composed of five chapters. Chapter 1 introduces the evolution of inclusive education during the last two decades. This chapter also discusses the importance of having an equal education and current challenges in inclusive education. Chapter 2 discusses the AI methodologies that can provide solutions to inclusive education. Furthermore, it discusses how modern AI approaches, such as Generative AI (GenAI) and Large Language Models (LLMs), are integrated into inclusive education support systems. Chapter 3 introduces AI-supported systems for analyzing emotional and behavioral aspects in STEM education. Enhancing STEM learning for visual and hearing impairments has been discussed in Chapter 4. Finally, Chapter 5 introduces the Metaverse approach as a methodology for inclusive learning support in distance learning education.The book is written for a wide audience, such as STEM module learners, teachers, researchers, system developers, medical professionals, and industrial professionals, who interact in modern AI and education support system development.