Wearable Systems Based Gait Monitoring and Analysis
Springer International Publishing (Verlag)
978-3-030-97331-5 (ISBN)
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.Introduction.-Characteristics of Gait.- Wearable Gait Detection Technologies.- Gait Analysis Algorithms.- Medical Applications.- Occupational Applications. Conclusions.
| Erscheinungsdatum | 18.03.2022 |
|---|---|
| Zusatzinfo | XII, 238 p. 99 illus., 81 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 501 g |
| Themenwelt | Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie |
| Technik | |
| Schlagworte | AI Based Disease Analysis • Disease classification • Falling Injury Prevention • Gait Features • Gait Monitoring and Analysis • Healthcare IoT • Internet of Medical Things • motion detection • Plantar Stress Distribution • Rehabilitation Training • Wearable Body Signal Sensing |
| ISBN-10 | 3-030-97331-X / 303097331X |
| ISBN-13 | 978-3-030-97331-5 / 9783030973315 |
| Zustand | Neuware |
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