Cantitate/Preț
Produs
Total produse
Vezi coșul
Wearable Systems Based Gait Monitoring and Analysis de Shuo Gao

Wearable Systems Based Gait Monitoring and Analysis

Autor Shuo Gao, Junliang Chen, Yanning Dai, Boyi Hu
en Limba Engleză Paperback – 18 mar 2023
Wearable Systems Based Gait Monitoring and Analysis provides a thorough overview of wearable gait monitoring techniques and their use in health analysis. The text starts with an examination of the relationship between the human body’s physical condition and gait, and then introduces and explains nine mainstream sensing mechanisms, including piezoresistive, resistive, capacitive, piezoelectric, inductive, optical, air pressure, EMG and IMU-based architectures. Gait sensor design considerations in terms of geometry and deployment are also introduced. Diverse processing algorithms for manipulating sensors outputs to transform raw data to understandable gait features are discussed. Furthermore, gait analysis-based health monitoring demonstrations are given at the end of this book, including both medical and occupational applications. The book will enable students of biomedical engineering, electrical engineering, signal processing, and ergonomics and practitioners to understand themedical and occupational applications of engineering-based gait analysis and falling injury prevention methods.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 52449 lei  3-5 săpt. +1991 lei  7-11 zile
  Springer International Publishing – 18 mar 2023 52449 lei  3-5 săpt. +1991 lei  7-11 zile
Hardback (1) 76754 lei  6-8 săpt.
  Springer International Publishing – 17 mar 2022 76754 lei  6-8 săpt.

Preț: 52449 lei

Preț vechi: 55209 lei
-5% Nou

Puncte Express: 787
Preț estimativ în valută:
10037€ • 10559$ • 8310£

Carte disponibilă

Livrare economică 24 decembrie 24 - 07 ianuarie 25
Livrare express 10-14 decembrie pentru 2990 lei

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783030973346
ISBN-10: 3030973344
Pagini: 238
Ilustrații: XII, 238 p. 99 illus., 81 illus. in color.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.36 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Cuprins

Introduction.-Characteristics of Gait.- Wearable Gait Detection Technologies.- Gait Analysis Algorithms.-  Medical Applications.- Occupational Applications. Conclusions.

Notă biografică

Shuo Gao, Ph.D., is currently an associate professor at the Beihang University, Beijing, China. He received his Ph.D. in electrical engineering from the University of Cambridge and from 2017 to 2018 was a research associate with University College London, UK. His area of expertise is wearable-system development. Professor Gao has published over 70 articles as the first/last author for peer-reviewed journals and flagship conferences and has been awarded 30 patents in the United States, United Kingdom, and China. He is co-author of the books Touch-Based Human-Machine Interaction: Principles and Applications (Springer, 2021) and A Flexible Multi-Functional Touch Panel for Multi-Dimensional Sensing in Interactive Displays (Cambridge University Press, 2019). He serves on several IEEE technical committees in various capabilities and is a member of the Editorial Board for Materials, Frontiers in Electronics, and Semiconductor Science and Information Devices. In terms of industrial experience, he has worked as a hardware engineer at SIGPRO, Ottawa, Canada, a system engineer at Ciena Corporation, Ottawa, Canada, and a technique consultant at Cambridge Touch Technologies Inc., Cambridge, UK. He is an expert group member of BOE Technology Group Co., Beijing, China. Jun-Liang Chen is a lead engineer at Smart Electronics Inc., Beijing, China. He received his bachelor’s and master’ degrees in engineering from Beihang University, Beijing, China. His research interests include piezoelectricity, circuit design, and signal processing and he has published more than 10 peer-reviewed research and review articles.
Yan-Ning Dai is a biomedical scientist at Smart Electronics Inc., Beijing, China. She received a bachelor’s degree with a double major in instrumentation engineering and biomedical engineering and a master’s degree in engineering from Beihang University, Beijing, China. Her research focuses on flexible electronics for human-machine interaction and health monitoring. She has published more than 20 peer-reviewed articles and patents.Boyi Hu, Ph.D., has been an assistant professor of industrial and systems engineering at the University of Florida since 2018. He received his Ph.D. degree from West Virginia University majoring in Ergonomics in 2016 and worked as a post-doc research fellow at Harvard T.H.Chan School of Public Health from 2016 to 2018. His research interests are ergonomics, biomechanics, system safety, and human-robot interaction. He has published over 40 peer-reviewed articles. As PI or Co-PI, his research has been funded by multiple US federal agencies, including the National Science Foundation, Department of Transportation, USDA National Institute of Food and Agriculture, and the National Institute for Occupational Safety and Health with the direct cost of over $4M in total. He has been serving as an associate editor for IEEE Transactions on Human-Machine Systems since 2020.

Textul de pe ultima copertă

Wearable Systems Based Gait Monitoring and Analysis provides a thorough overview of wearable gait monitoring techniques and their use in health analysis. The text starts with an examination of the relationship between the human body’s physical condition and gait, and then introduces and explains nine mainstream sensing mechanisms, including piezoresistive, resistive, capacitive, piezoelectric, inductive, optical, air pressure, EMG, and IMU-based architectures. Gait sensor design considerations in terms of geometry and deployment are also introduced. Diverse processing algorithms for manipulating sensors outputs to transform raw data to understandable gait features are discussed. Furthermore, gait analysis-based health monitoring demonstrations are given at the end of this book, including both medical and occupational applications. The book will enable students of biomedical engineering, electrical engineering, signal processing, and ergonomics and practitioners to understand themedical and occupational applications of engineering-based gait analysis and falling injury prevention methods.
  • Provides students and practitioners with an overview of wearable gait monitoring techniques;
  • Includes detailed insole sensor design considerations;
  • Features engineering-based gait analysis methods.

Caracteristici

Provides students and practitioners with an overview of wearable gait monitoring techniques; Includes detailed insole sensor design considerations; Features engineering-based gait analysis methods.