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| Analiza synergii mięśniowych× | Analiza chodu z użyciem Dynamic Time Warping (DTW)× | |
|---|---|---|
| Dziedzina | Biomechanika | Biomechanika |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 1999 | 1978 |
| Twórca≠ | Marc Tresch | Sakoe and Chiba |
| Typ≠ | Dimensionality reduction and pattern extraction | Sequence alignment and pattern matching |
| Źródło pierwotne≠ | Tresch, M. C., Saltiel, P., Bizzi, E., & Bizzi, E. (1999). The construction of movement by the spinal cord. Nature Neuroscience, 2(2), 162-167. DOI ↗ | Sakoe, H., & Chiba, S. (1978). Dynamic programming algorithm optimization for spoken word recognition. IEEE Transactions on Acoustics, Speech, and Signal Processing, 26(1), 43-49. DOI ↗ |
| Inne nazwy | Motor synergy, Synergy extraction, Motor primitives | DTW, Gait pattern matching, Temporal gait comparison |
| Pokrewne | 3 | 3 |
| Podsumowanie≠ | Muscle synergy analysis decomposes complex motor behavior into a small set of coactivated muscle groups (synergies or motor primitives). Pioneered by Marc Tresch and colleagues studying frog motor control, this approach reveals how the nervous system simplifies the control of many muscles by organizing them into task-relevant combinations. | Dynamic Time Warping (DTW) is a sequence alignment algorithm that measures similarity between time series of different lengths by allowing flexible temporal matching. Applied to gait analysis, DTW enables comparison of walking patterns across subjects and conditions despite variations in cadence or stride length. |
| ScholarGateZbiór danych ↗ |
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