商品描述
The rapid advances in technology have revolutionized healthcare and assisted living, and given rise to Ambient Assisted Living (AAL). As healthcare is transitioning from healthcare 4.0 to healthcare 5.0, the integration of AI, IoT, Blockchain, 5G, and Fog Computing is enabling innovative solutions for personalized care, remote monitoring, and intelligent decision-making.
This book delves into cutting-edge AAL technologies, including AI-driven gait analysis for diagnosing and classifying disorders like Parkinson's disease, assistive robotics to enhance daily living, and Blockchain-based token incentive systems for transparency and engagement. It also explores AI-powered diet management for diabetes patients, NLP applications in clinical decision-making, and large language models for healthcare analytics. The book highlights GAN-based solutions for emergency staffing and resilient scheduling, demonstrating AI's role in optimizing healthcare operations. The book also examines multisensory rooms for engaging children with disabilities, emphasizing inclusive technology design. Ethical concerns in AAL, ensuring that innovation aligns with societal values and patient dignity are also addressed. With insights into practical applications, challenges, and future directions, the book serves as a guide for researchers, practitioners, and policymakers, offering a comprehensive vision of how technology can revolutionize healthcare and empower individuals.
商品描述(中文翻譯)
快速的科技進步已經徹底改變了醫療保健和輔助生活，並催生了環境輔助生活（Ambient Assisted Living, AAL）。隨著醫療保健從醫療4.0過渡到醫療5.0，人工智慧（AI）、物聯網（IoT）、區塊鏈（Blockchain）、5G和霧計算（Fog Computing）的整合使得個性化護理、遠程監控和智能決策的創新解決方案成為可能。
本書深入探討尖端的AAL技術，包括基於AI的步態分析，用於診斷和分類如帕金森病等疾病，輔助機器人以提升日常生活，以及基於區塊鏈的代幣激勵系統以促進透明度和參與度。它還探討了針對糖尿病患者的AI驅動飲食管理、自然語言處理（NLP）在臨床決策中的應用，以及大型語言模型在醫療分析中的應用。本書強調基於生成對抗網絡（GAN）的解決方案，用於應急人力資源配置和彈性排班，展示了AI在優化醫療運營中的角色。本書還檢視了多感官房間，以吸引有障礙的兒童，強調包容性技術設計。AAL中的倫理問題，確保創新與社會價值和患者尊嚴相一致的議題也得到了探討。通過對實際應用、挑戰和未來方向的深入見解，本書為研究人員、實踐者和政策制定者提供了指導，展現了科技如何徹底改變醫療保健並賦能個體的全面願景。
作者簡介
Rashmi Gupta has a PhD degree in Computer Applications from the National Institute of Technology, Raipur, India. She is an Assistant Professor in the Department of Computer Science and Application at Atal Bihari Vajpayee University in Bilaspur, India. She has over 11 years of teaching experience, her research interests encompass Natural Language Processing, EEG signal processing, and Human activity recognition. She has published more than 25 research papers, conference papers, and book chapters. Dr. Gupta has also undertaken peer-reviewing responsibilities for esteemed publishers. She has been awarded grants by AICTE to organize the ATAL Faculty Development Program and by the Science and Engineering Research Board, DST for conducting High-end Workshops and Internships. Moreover, she has successfully organized numerous faculty development programs under the AIU-Academic and Administrative Development Centre at Atal Bihari Vajpayee University, Bilaspur. Demonstrating her commitment to mentorship, Dr. Gupta has guided over 30 PG and 20 UG students in their research-related major projects. She has been invited as a resource person to deliver lectures at various Workshops and Faculty Development Programs. She is also a member of prestigious academic societies such as IEEE, the Indian Science Congress, the International Association of Engineers (IAENG), the International Computer Science and Engineering Society (ICSES), and the International Association of Academicians (IAASSE).
Shashi Shekhar has been an Associate Professor in the Department of Computer Engineering & Applications, at GLA University, Mathura, India since 2020. Experience of 20+ years in Teaching, Research, and Administration. He has taught courses at both undergraduate and postgraduate levels in the area of Computer Science & Engineering covering research methods in Information Retrieval and Natural Language Processing domain. He has published over 46 articles in peer-reviewed journals (SCI/Scopus/WoS) and conferences. He has also Supervised 8 Postgraduate (MTech Thesis) and 4 PhD scholars in the area of Natural Language Processing and Information Retrieval.
Jeetendra Kumar holds Ph.D. degree from GLA University, Mathura and working as an Assistant Professor in the Department of Computer Science & Application at Atal Bihari Vajpayee University, Bilaspur, India for the last 11 years. He has published research articles in reputed journals and conferences, including topics like sentiment analysis, fall detection using machine learning techniques, IoT applications, automatic question generation, etc. He has also contributed book chapters on topics related to neuroscience, smartphone applications, and fog computing in healthcare. He has completed research projects sponsored by the State Planning Commission, C.G., and Commonwealth Media Centre for Asia (CEMCA) New Delhi and Atal Bihari Vajpayee University, Bilaspur. He is also a member of prestigious academic societies and associations such as IEEE, the Indian Science Congress, the International Association of Engineers (IAENG), the International Computer Science and Engineering Society (ICSES), and the International Association of Academicians (IAASSE).
Gaurav Dhiman holds a PhD in Computer Engineering from Thapar Institute of Engineering & Technology, Patiala, India and has also completed his Master's Degree of Computer Applications from the same institute. He is an Assistant Professor in the School of Sciences and Emerging Technologies, Jagat Guru Nanak Dev Punjab State Open University, Patiala. His research has been recognized at the highest level, as he has been named one of the world's top researchers by Stanford University, USA list of world's top 2% scientists prepared by Elsevier. He is the senior member of IEEE. He has also received accolades for his outstanding reviewer work from Knowledge-Based Systems (Elsevier). He has authored over 300 peer-reviewed research papers, all of which are indexed in SCI-SCIE, and 10 international books.
作者簡介(中文翻譯)
拉什米·古普塔擁有印度拉伊普爾國立技術學院的計算機應用博士學位。她是印度比拉斯普爾阿塔爾·比哈里·瓦賈佩伊大學計算機科學與應用系的助理教授。她擁有超過11年的教學經驗，研究興趣包括自然語言處理、腦電圖信號處理和人類活動識別。她已發表超過25篇研究論文、會議論文和書籍章節。古普塔博士還擔任過多家知名出版社的同行評審工作。她曾獲得AICTE的資助，以組織ATAL教師發展計劃，以及科學與工程研究委員會（DST）資助以舉辦高端工作坊和實習。此外，她成功組織了多個在阿塔爾·比哈里·瓦賈佩伊大學的AIU學術與行政發展中心下的教師發展計劃。古普塔博士展現了她對指導的承諾，已指導超過30名研究生和20名本科生的研究相關主要項目。她還被邀請作為資源人員在各種工作坊和教師發展計劃中進行講座。她也是多個知名學術社團的成員，如IEEE、印度科學大會、國際工程師協會（IAENG）、國際計算機科學與工程學會（ICSES）和國際學者協會（IAASSE）。
沙希·謝卡爾自2020年以來一直擔任印度馬圖拉GLA大學計算機工程與應用系的副教授。擁有超過20年的教學、研究和管理經驗。他在計算機科學與工程領域教授本科和研究生課程，涵蓋信息檢索和自然語言處理領域的研究方法。他已在同行評審的期刊（SCI/Scopus/WoS）和會議上發表超過46篇文章。他還在自然語言處理和信息檢索領域指導了8名研究生（碩士論文）和4名博士生。
吉坦德拉·庫馬爾擁有GLA大學的博士學位，並在印度比拉斯普爾的阿塔爾·比哈里·瓦賈佩伊大學計算機科學與應用系擔任助理教授已有11年。他在知名期刊和會議上發表了研究文章，主題包括情感分析、使用機器學習技術的跌倒檢測、物聯網應用、自動問題生成等。他還貢獻了有關神經科學、智能手機應用和醫療保健中的霧計算的書籍章節。他已完成由中央規劃委員會、C.G.和新德里的英聯邦媒體中心（CEMCA）以及阿塔爾·比哈里·瓦賈佩伊大學資助的研究項目。他也是多個知名學術社團和協會的成員，如IEEE、印度科學大會、國際工程師協會（IAENG）、國際計算機科學與工程學會（ICSES）和國際學者協會（IAASSE）。
高拉夫·迪曼擁有印度帕提亞拉的塔帕爾工程與技術學院的計算機工程博士學位，並在同一學院完成了計算機應用碩士學位。他是印度帕提亞拉的賈卡特·古魯·納納克·德夫旁遮普州開放大學科學與新興技術學院的助理教授。他的研究在最高層面上得到了認可，因為他被美國斯坦福大學列為全球前2%科學家的名單，該名單由愛思唯爾編制。他是IEEE的高級會員。他還因其出色的評審工作獲得了知識基礎系統（Elsevier）的讚譽。他已發表超過300篇同行評審的研究論文，所有論文均被SCI-SCIE索引，並出版了10本國際書籍。
