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1 Ergebnisse
1
A Deep-Learning-Based Method for Gaining More Biomechanical..:
, In:
2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)
,
Wang, Ye
;
Shan, Gongbing
;
Li, Hua
... - p. 704-709 , 2022
Link:
https://doi.org/10.1109/RCAR54675.2022.9872240
RT T1 <cTitle>2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)</cTitle>: T1 <Title>A Deep-Learning-Based Method for Gaining More Biomechanical Parameters with Fewer Sensors in Fast and Complex Movements</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9872240&Exemplar=1&LAN=DE A1 Wang, Ye A1 Shan, Gongbing A1 Li, Hua A1 Feng, Ruliang A1 Zhang, Yilan A1 Li, Guanglin A1 Wang, Lin YR 2022 K1 Biomechanics K1 Wrist K1 Training K1 Biological system modeling K1 Predictive models K1 Real-time systems K1 Data models K1 deep learning K1 kinematics K1 neural network K1 real-time biomechanical feedback K1 wearable sensors SP 704 OP 709 LK http://dx.doi.org/https://doi.org/10.1109/RCAR54675.2022.9872240 DO https://doi.org/10.1109/RCAR54675.2022.9872240 SF ELIB - SuUB Bremen
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