Decoding Gait Signatures: Exploring Individual Patterns in Pathological Gait Using Explainable AI
This study explores the application of machine learning (ML) to derive and analyze individual gait patterns (i.e., gait signatures) from ground reaction force data. This study leverages three datasets containing 2,092 individuals, including 1,283 cases with pathological gait, and addresses three key...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10786220/ |
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