B.G.D.A. Madhusanka

This book combines modern Artificial Intelligence (AI) and inclusive education learning systems methodologies. The book also provides extensive discussion and methodologies related to STEM instruction to enhance future education. Inclusive Education in the Age of Modern AI explores and provides an education support system for special needs students under the STEM education system. First the authors introduce the evolution of inclusive education during the last two decades and the importance of equality in education and the current challenges in inclusive education. Next there is a discussion of AI methodologies that can provide solutions to inclusive education. There is also an examination on how modern AI approaches, such as Generative AI and the Large Language Model, are integrated into inclusive education support systems. The authors then introduce AI-supported emotional and behavioral analysis systems for STEM education. Special consideration is given to STEM learning for visual and hearing impairments. The book concludes with an exploration of the metaverse approach for inclusive learning support methodology under distance learning education. The book is written for STEM module learners, teachers, researchers, system developers, medical professionals, and industrial professionals who interact in modern AI and education support systems development.

This book combines modern Artificial Intelligence (AI) and inclusive education learning systems methodologies. The book also provides extensive discussion and methodologies related to STEM instruction to enhance future education. Inclusive Education in the Age of Modern AI explores and provides an education support system for special needs students under the STEM education system. First the authors introduce the evolution of inclusive education during the last two decades and the importance of equality in education and the current challenges in inclusive education. Next there is a discussion of AI methodologies that can provide solutions to inclusive education. There is also an examination on how modern AI approaches, such as Generative AI and the Large Language Model, are integrated into inclusive education support systems. The authors then introduce AI-supported emotional and behavioral analysis systems for STEM education. Special consideration is given to STEM learning for visual and hearing impairments. The book concludes with an exploration of the metaverse approach for inclusive learning support methodology under distance learning education. The book is written for STEM module learners, teachers, researchers, system developers, medical professionals, and industrial professionals who interact in modern AI and education support systems development.

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 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 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.