ScholarGate
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Process / pipelineTime-series analysis

Uchanganuzi wa Mwendo wa DTW

Dynamic Time Warping (DTW) ni algorithm ya kuoanisha mfuatano inayopima kufanana kati ya mfululizo wa nyakati wa urefu tofauti kwa kuruhusu ulinganifu wa muda unaonyumbulika. Inapotumiwa katika uchanganuzi wa mwendo, DTW huwezesha kulinganishwa kwa mifumo ya kutembea kati ya washiriki na hali licha ya tofauti katika kasi au urefu wa hatua.

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Vyanzo

  1. 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: 10.1109/TASSP.1978.1163055
  2. Wang, Z., Yan, W., & Oates, T. (2013). Time series classification from scratch with deep neural networks: A strong baseline. arXiv preprint arXiv:1611.06455. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Dynamic Time Warping for Gait Analysis. ScholarGate. https://scholargate.app/sw/biomechanics/dtw-gait-analysis

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Imerejelewa na

ScholarGateDTW Gait Analysis (Dynamic Time Warping for Gait Analysis). Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/biomechanics/dtw-gait-analysis · Seti ya data: https://doi.org/10.5281/zenodo.20539026