Vision Attentive Technology - H.M.K.K.M.B. Herath, A.G.B.P. Jayasekara, B.G.D.A. Madhusanka

Vision Attentive Technology

AI Approaches for Functional Mobility Assessments in Elderly Healthcare
Buch | Hardcover
186 Seiten
2024
CRC Press (Verlag)
978-1-032-61067-2 (ISBN)
174,55 inkl. MwSt
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.

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.

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

Erscheinungsdatum
Zusatzinfo 22 Tables, black and white; 13 Line drawings, color; 9 Line drawings, black and white; 7 Halftones, color; 13 Halftones, black and white; 22 Illustrations, color; 20 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 156 x 234 mm
Gewicht 530 g
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Medizin / Pharmazie Medizinische Fachgebiete Geriatrie
Medizin / Pharmazie Physiotherapie / Ergotherapie Orthopädie
Technik Elektrotechnik / Energietechnik
Technik Medizintechnik
Technik Umwelttechnik / Biotechnologie
ISBN-10 1-032-61067-0 / 1032610670
ISBN-13 978-1-032-61067-2 / 9781032610672
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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