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| Analiza chodu z użyciem Dynamic Time Warping (DTW)× | Analiza synergii mięśniowych× | |
|---|---|---|
| Dziedzina | Biomechanika | Biomechanika |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 1978 | 1999 |
| Twórca≠ | Sakoe and Chiba | Marc Tresch |
| Typ≠ | Sequence alignment and pattern matching | Dimensionality reduction and pattern extraction |
| Źródło pierwotne≠ | 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 ↗ | 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 ↗ |
| Inne nazwy | DTW, Gait pattern matching, Temporal gait comparison | Motor synergy, Synergy extraction, Motor primitives |
| Pokrewne | 3 | 3 |
| Podsumowanie≠ | 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. | 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. |
| ScholarGateZbiór danych ↗ |
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