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出版商:
Springer
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出版日期:
2026-01-03
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售價:
$6,560
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貴賓價:
9.5 折
$6,232
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語言:
英文
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頁數:
146
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裝訂:
Hardcover - also called cloth, retail trade, or trade
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ISBN:
303209240X
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ISBN-13:
9783032092403
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相關分類:
Machine Learning
商品描述
This book presents research into the domain of Human Activity Recognition (HAR) and Fall Detection (FD), with a focus on the seamless monitoring and support of elderly people. The author shows how current HAR and FD technologies have application in disease monitoring, prediction and identification, as well real-time facilitating early diagnosis of symptom-based disease identification, prediction, and detection. The author discusses existing infrastructure that supports this ecosystem, comprising smartphones, WiFi, 3G/4G Internet connectivity, and low-cost wearable sensors for sustainable health monitoring and care. The book presents smart technologies such as machine learning, deep learning, and Internet of Things that are applied for sensor data analysis and knowledge extraction towards accurate identification of activities and fall events with pre-fall postures in real time. The author also shows how smart and seamless health monitoring and care ecosystem fits with traditional healthcare system for sustainable solutions.
Presents smart technologies for sustainable health monitoring and care targeted for the elderly; Discusses techniques for privacy surrounding Human Activity Recognition (HAR) and Fall Detection (FD); Includes case studies, scenario-based studies, sponsored projects, prototypes and successful applications.
商品描述(中文翻譯)
本書探討人類活動識別（Human Activity Recognition, HAR）和跌倒檢測（Fall Detection, FD）領域的研究，重點在於無縫監測和支持老年人。作者展示了當前的 HAR 和 FD 技術在疾病監測、預測和識別方面的應用，以及如何實時促進基於症狀的疾病識別、預測和檢測的早期診斷。作者討論了支持這一生態系統的現有基礎設施，包括智能手機、WiFi、3G/4G 網際網路連接以及低成本的可穿戴傳感器，以實現可持續的健康監測和護理。本書介紹了應用於傳感器數據分析和知識提取的智能技術，如機器學習、深度學習和物聯網，旨在實時準確識別活動和跌倒事件及其前跌倒姿勢。作者還展示了智能和無縫的健康監測及護理生態系統如何與傳統醫療系統相結合，以提供可持續的解決方案。
- 提出針對老年人的可持續健康監測和護理的智能技術；
- 討論有關人類活動識別（HAR）和跌倒檢測（FD）的隱私技術；
- 包含案例研究、情境研究、贊助項目、原型和成功應用。
作者簡介
Dr. Suparna Biswas is an Associate Professor in the Department of Computer Science & Engineering in Maulana Abul Kalam Azad University of Technology, WB. She has received ME and Ph.D from Jadavpur University, West Bengal. She has been an ERASMUS MUNDUS Post Doctoral research fellow in Northumbria University, Newcastle, UK. She has successfully executed two funded research projects in the capacity of PI and Co-PI in the area of IoT based smart healthcare and security. She has been Lead Editor of an edited book entitled "Internet of Things based Smart healthcare" published by Springer in 2020. She has organized International Conference as Lead organizing chair, TPC member, acted as Session Chair, delivered Tutorial Lectures in International Conferences, and Invited talks in FDPs, Seminars etc. She is member of Board of Studies, Selection Committee member, PhD research Committee member etc. in different Universities. She has co-authored a number of research papers published in reputed journals including Q1 journals, conferences and book chapters of international repute. She has guided successfully 6 PhD scholars in the domain of smart healthcare and security. She has been awarded with two International patents for innovation in development of a Smart Health Monitoring Assistance prototype for Parkinson's disease people. This innovation has been covered by National level reputed English news daily. Her areas of research interests are Internet of Things, Machine Learning, Network Security, Smart Healthcare, Smart Agriculture etc. She is a senior member of IEEE.
作者簡介(中文翻譯)
蘇帕娜·比斯瓦斯博士是西孟加拉州馬烏拉納·阿布·卡拉姆·阿扎德科技大學計算機科學與工程系的副教授。她在西孟加拉的賈達夫普爾大學獲得碩士和博士學位。她曾在英國紐卡斯爾的諾森比亞大學擔任ERASMUS MUNDUS博士後研究員。她成功執行了兩個資助的研究項目，擔任主要研究者（PI）和共同研究者（Co-PI），專注於基於物聯網的智慧醫療和安全領域。她是2020年由Springer出版的編輯書籍《基於物聯網的智慧醫療》的主編。她作為主要組織主席組織了國際會議，擔任技術程序委員會成員，擔任會議主席，並在國際會議上進行教程講座和在FDP、研討會等場合發表邀請演講。她是多所大學的學術委員會成員、選拔委員會成員、博士研究委員會成員等。她共同撰寫了多篇發表在知名期刊（包括Q1期刊）、會議和國際知名書籍章節的研究論文。她成功指導了6位在智慧醫療和安全領域的博士生。她因在為帕金森病患者開發智慧健康監測輔助原型方面的創新而獲得兩項國際專利。這項創新已被國內知名的英語新聞日報報導。她的研究興趣包括物聯網、機器學習、網絡安全、智慧醫療、智慧農業等。她是IEEE的資深會員。
