A Deep Learning Model for Exercise-Based Rehabilitation Using Multi-channel Time-Series Data from a Single Wearable Sensor
In: Wireless Mobile Communication and Healthcare : 9th EAI International Conference, MobiHealth 2020, Virtual Event, November 19, Jg. 362 (2021), S. 104-115
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Zugriff:
Titel: |
A Deep Learning Model for Exercise-Based Rehabilitation Using Multi-channel Time-Series Data from a Single Wearable Sensor
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Autor/in / Beteiligte Person: | Prabhu, Ghanashyama ; O’Connor, Noel E. ; Moran, Kieran ; Akan, Ozgur [Ed.]ial Board Member ; Bellavista, Paolo [Ed.]ial Board Member ; Cao, Jiannong [Ed.]ial Board Member ; Coulson, Geoffrey [Ed.]ial Board Member ; Dressler, Falko [Ed.]ial Board Member ; Ferrari, Domenico [Ed.]ial Board Member ; Gerla, Mario [Ed.]ial Board Member ; Kobayashi, Hisashi [Ed.]ial Board Member ; Palazzo, Sergio [Ed.]ial Board Member ; Sahni, Sartaj [Ed.]ial Board Member ; Shen, Xuemin (Sherman) [Ed.]ial Board Member ; Stan, Mircea [Ed.]ial Board Member ; Jia, Xiaohua [Ed.]ial Board Member ; Zomaya, Albert Y. [Ed.]ial Board Member ; Ye, Juan [Ed.] ; O'Grady, Michael J. [Ed.] ; Civitarese, Gabriele [Ed.] ; Yordanova, Kristina [Ed.] |
Zeitschrift: | Wireless Mobile Communication and Healthcare : 9th EAI International Conference, MobiHealth 2020, Virtual Event, November 19, Jg. 362 (2021), S. 104-115 |
Veröffentlichung: | 2021 |
Medientyp: | E-Book |
ISBN: | 978-3-030-70568-8 (print) ; 978-3-030-70569-5 (print) |
DOI: | 10.1007/978-3-030-70569-5_7 |
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