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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2505.10869 |
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| _version_ | 1866910947584507904 |
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| author | Fukino, Go Tachibana, Kanta |
| author_facet | Fukino, Go Tachibana, Kanta |
| contents | This study focuses on the velocity patterns of various body parts during walking and proposes a method for evaluating gait symmetry. Traditional motion analysis studies have assessed gait symmetry based on differences in electromyographic (EMG) signals or acceleration between the left and right sides. In contrast, this paper models intersegmental coordination using an LTI system and proposes a dissimilarity metric to evaluate symmetry. The method was tested on five subjects with both symmetric and asymmetric gait. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_10869 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Convolution-Based Gait Asymmetry Metric for Inter-Limb Synergistic Coordination Fukino, Go Tachibana, Kanta Computer Vision and Pattern Recognition Human-Computer Interaction This study focuses on the velocity patterns of various body parts during walking and proposes a method for evaluating gait symmetry. Traditional motion analysis studies have assessed gait symmetry based on differences in electromyographic (EMG) signals or acceleration between the left and right sides. In contrast, this paper models intersegmental coordination using an LTI system and proposes a dissimilarity metric to evaluate symmetry. The method was tested on five subjects with both symmetric and asymmetric gait. |
| title | A Convolution-Based Gait Asymmetry Metric for Inter-Limb Synergistic Coordination |
| topic | Computer Vision and Pattern Recognition Human-Computer Interaction |
| url | https://arxiv.org/abs/2505.10869 |