Synopsis
Assistive technology solutions enhance the quality of life for aging adults and individuals with disabilities. These innovative tools and devices support daily activities, improve independence, and promote social engagement. From mobility aids like walkers and wheelchairs to advanced communication devices and smart home technologies, assistive technologies cater to a wide range of needs. Continued research into this technology may help create more inclusive environments, ensuring aging adults and those with disabilities can participate in their communities. Assistive Technology Solutions for Aging Adults and Individuals With Disabilities addresses the challenges faced by adults and individuals with disabilities through exploration of effective assistive tools. Various devices and technologies are examined, including their usefulness in creating a more inclusive community for those with disabilities and specialized healthcare needs. This book covers topics such as communication devices, mobility aids, and visual assistance, and is a useful resource for psychologists, sociologists, healthcare professionals, computer engineers, academicians, and researchers.
About the Authors
Rajiv Pandey Senior Member IEEE for the last 17 years is a faculty at Amity Institute of Information Technology, Amity University, Uttar Pradesh, Lucknow Campus India. He has Edited Volumes on “Semantic IoT”, Blockchain, Quantum Systems, and AI/ML for EDGE computing, published by Springer, Taylor and Francis, and Elsevier. He possesses a diverse background experience of around 40 years including 15 years of Industry and 25 years of academics. His research interests include contemporary technologies, such as Blockchain, cryptocurrencies, and Info. Security, Semantic Web Provenance, Cloud, Big Data, and Data Analytics. He has published more than 60 research papers in Scopus, and other science-indexed journals of repute. He has been Session chair and technical committee member for various IEEE and Elsevier conferences. He has been on technical committees of various government and private universities. He is an active contributor in professional bodies like IEEE, IET, and the Lucknow Management Association.
Pratibha Maurya presently working as Assistant Professor Grade -III in Amity Institute of Information Technology, Amity University, Lucknow Campus, have teaching experience of more than 15 years in the area of IT and CS. She holds M.Sc. (CS), M.Tech. (IT) and PhD degrees in Computer Science. Her research interest includes Artificial Intelligence and Machine Learning, Big Data and Information Retrieval. She is having a long list of publications in various Scopus and national & international journal, presented many papers in national and international conferences of repute and attended many FDPs and QIP’s. She has been member of Technical program committees for conferences and reviewer for indexed journals
Jigna Prajapati has rich experience of 16 years in academia, research and IT industry, holding Doctorate in Computer Science. She claims on her name more than thirty international & national publication. She has secured many best paper awards in international & national Conferences in research category. She is Leading a team which involves work of Examination, its Infrastructure, Academic Planning & Development, Network Design & other administration. She is actively working in field of Artificial Intelligence & Machine Learning focusing on healthcare. She has delivered 11 invited session/hands-on in various conference, seminar and workshop.
Dr. Raju Halder holds a PhD in Computer Science from Ca’ Foscari University of Venice, Italy. He is currently an Associate Professor in the Department of Computer Science and Engineering at Indian Institute of Technology Patna, India. Meanwhile, he has served as a post doctoral researcher with Macquarie University, Australia, and University of Minho, Portugal. Recently, he was honored with "Visiting Professor 2023 at National Polytechnic Institute of Toulouse (TOULOUSE INP), France”. Dr. Halder has more than 12 years of experience in teaching and research. His primary research interests span Formal Methods, Program Analysis and Verification, Blockchain and Smart Contracts, Machine Learning and AI. His research work has been published in a number of reputed journals and International Conferences, including IEEE transactions on Software Engineering, IEEE Transactions on Service Computing, IEEE Transactions on Computational Social Systems, Science of Computer Programming, ACM SAC, IEEE ICBC, IEEE Blockchain, KDD, and WWW.
Kanishka Tyagi received his Bachelor's Degree in Electrical Engineering in 2008 from G.B.Pant University of Agriculture and Technology, India. Later he worked as a Research Associate at the Department of Electrical Engineering, Indian Institute of Technology, Kanpur, with Dr.P.K.Kalra. He received his M.S. and Ph.D. degree with Dr. Michael Manry in Department of Electrical Engineering at The University of Texas at Arlington in 2012 and 2017 respectively. Currently, he works as a lead machine learning autonomous driving scientist at Aptiv corporation in Agoura Hills, California. Prior to Aptiv, he worked at Siemens research, interned in ML groups at The MathWorks and Google Research. He spent two summer of his grad school as a visiting researcher at Ajou University and Seoul National University, South Korea. His research interests are optimization theory, music and audio processing, neural networks, hardware machine learning and radar machine learning. He received the 2007 and 2011 IEEE CIS Outstanding Student Paper Travel Grant Awards and the 2013 IEEE Computational Intelligence Society Walter Karplus Summer Research Grant award. Dr. Tyagi has published over 25 papers and filed 16 U.S and International patents/trade secrets.
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