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pro vyhledávání: '"Spilz, Andreas"'
Autor:
Spilz, Andreas, Munz, MIchael
(1) Background: The success of physiotherapy depends on the regular and correct performance of movement exercises. A system that automatically evaluates these could support the therapy. Previous approaches in this area rarely rely on Deep Learning me
Externí odkaz:
http://arxiv.org/abs/2210.01209
Autor:
Spilz, Andreas, Munz, Michael
Synchronisation of wireless inertial measurement units in human movement analysis is often achieved using event-based synchronisation techniques. However, these techniques lack precise event generation and accuracy. An inaccurate synchronisation coul
Externí odkaz:
http://arxiv.org/abs/2107.03147
Autor:
Spilz, Andreas1 (AUTHOR), Munz, Michael1 (AUTHOR) michael.munz@thu.de
Publikováno v:
Sensors (14248220). Jan2023, Vol. 23 Issue 1, p5. 21p.
Publikováno v:
Current Directions in Biomedical Engineering, Vol 5, Iss 1, Pp 513-515 (2019)
In this work, a low-priced smart fabric forcesensing glove is developed which is able to measure the total amount and direction of the force a person applies on a patient in a physiotherapeutic context. A device like this would be beneficial for the
Externí odkaz:
https://doaj.org/article/7510962a6912437189ae8ad8849b7224
Akademický článek
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Autor:
Spilz A; Research Group Biomechatronics, University of Applied Sciences Ulm, 89081 Ulm, Germany., Munz M; Research Group Biomechatronics, University of Applied Sciences Ulm, 89081 Ulm, Germany.
Publikováno v:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Dec 20; Vol. 23 (1). Date of Electronic Publication: 2022 Dec 20.