方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 动态时间规整步态分析× | 肌肉协同分析× | |
|---|---|---|
| 领域 | 生物力学 | 生物力学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1978 | 1999 |
| 提出者≠ | Sakoe and Chiba | Marc Tresch |
| 类型≠ | Sequence alignment and pattern matching | Dimensionality reduction and pattern extraction |
| 开创性文献≠ | 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 ↗ |
| 别名 | DTW, Gait pattern matching, Temporal gait comparison | Motor synergy, Synergy extraction, Motor primitives |
| 相关 | 3 | 3 |
| 摘要≠ | 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. |
| ScholarGate数据集 ↗ |
|
|