Machine learning-based risk of fall estimation using insole with force sensors while performing a sequence of activities in the TUG test
Several methods combining biomedical and computer-based approaches have been used to address the risk of falls among the elderly using instrumented insoles. Machine-learning techniques in gait analysis has proven to be a promising solution when using instrumented insoles. However, no study has inves...
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| Main Authors: | Clinton Enow Tabi, Johannes C. Ayena, Martin J.-D. Otis |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
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| Series: | Cogent Engineering |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/23311916.2024.2432515 |
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