Overview

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.

Full Product Details

Author:   H.M.K.K.M.B. Herath (Sri Lanka Technological Campus) ,  A.G.B.P. Jayasekara ,  B.G.D.A. Madhusanka
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
ISBN:  

9781032610672

ISBN 10:   1032610670
Pages:   216
Publication Date:   10 December 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Forthcoming
Availability:   Not yet available  
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Table of Contents

Chapter 1- Introduction to Vision-Attentive Technology and Elderly Healthcare Chapter 2- Functional Mobility in Elderly Populations: Assessments, Analysis and Technologies Chapter 3- Vision Attentive Systems and Artificial Intelligence Methodologies for Functional Mobility Assessment in Elderly Populations Chapter 4- The Role of Vision Attentive Approaches in Screening for Parkinson’s Disease in Elderly Populations Chapter 5- The Role of Vision-Attentive Approaches in Screening of Sarcopenia in Elderly Populations Chapter 6- Future Directions of AI Integrated Vision-Attentive Technologies for Elderly Healthcare

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Author Information

Eng. H.M.K.K.M.B. Herath is a Lecturer in the Department of Mechatronics Engineering at Sri Lanka Technology Campus (SLTC) and Principal Investigator at the Computational Intelligence and Robotics (CIR) Research Lab. He teaches advanced subjects like AI, Bionics, Robotics, and Embedded Systems while leading impactful research. Herath earned a B.Tech. (Hons) in Mechatronics Engineering from The Open University of Sri Lanka in 2019 and a M.Sc. degree from the University of Moratuwa, Sri Lanka in 2023. He is affiliated with AMIESL, ECSL, and IEEE, reflecting his dedication to the engineering field. Prof. A.G. Buddhika P. Jayasekara received the B.Sc. degree and the M.Sc. degree in electrical engineering from the University of Moratuwa in 2004 and 2006, respectively, and the Ph.D. degree in robotics and intelligent systems from the University of Saga, Japan. After completing his Ph.D. in 2010, he joined the Department of Electrical Engineering at the University of Moratuwa, where he is currently a Professor. He is the Principal Investigator of the Intelligent Service Robotics Group in the Department of Electrical Engineering at the University of Moratuwa. He is actively involved in research projects, such as an intelligent mobile robot for domestic environments (MIRob-Moratuwa Intelligent Robot), an intelligent wheelchair, and other artificial intelligence applications. Dr. B.G.D.A. Madhusanka is a Senior Lecturer at the Department of Mechanical Engineering at the OUSL, is a source of pride for the academic and professional community. He received his B.Tech. degree in Mechatronics Engineering from the Open University of Sri Lanka in 2010, M.Sc. degree in Industrial Automation from the University of Moratuwa in 2013, and his Ph.D. degree from the Malaysian University of Science and Technology (MUST) in 2022, respectively. His research interests include Service Robotics, Ambient Assisted Living (AAL), Image Processing, Artificial Intelligence (AI), and Computer Vision.

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