IMU-Based Real-Time Estimation of Gait Phase Using Multi-Resolution Neural Networks
This work presents a real-time gait phase estimator using thigh- and shank-mounted inertial measurement units (IMUs). A multi-rate convolutional neural network (CNN) was trained to estimate gait phase for a dataset of 16 participants walking on an instrumented treadmill with speeds varying between 0...
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| Principais autores: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI AG
2024-04-01
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| Serier: | Sensors |
| Fag: | |
| Online adgang: | https://www.mdpi.com/1424-8220/24/8/2390 |
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