Author:
Ram D. Dinesh,Muthukumaran U.,Fatima N. Sabiyath
Publisher
Springer Nature Singapore
Reference16 articles.
1. Trelinski J, Kwolek B (2021) CNN-based and DTW features for human activity recognition on depth maps. Neural Comput Appl 33:14551–14563. https://doi.org/10.1007/s00521-021-06097-1
2. Seto S, Zhang W, Zhou Y (2015) Multivariate time series classification using dynamic time warping template selection for human activity recognition 1399–1406. https://doi.org/10.1109/SSCI.2015.199
3. Pham H, Le K, Le H (2014) Human action recognition using dynamic time warping and voting algorithm. VNU J Comput Sci Commun Eng 30:22–30
4. Celebi S, Aydin AS, Temiz TT, Arici T (2013) Gesture recognition using skeleton data with weighted dynamic time warping. In: Proceedings of the international conference on computer vision theory and applications (VISAPP), pp 620–625
5. Sempena S, Maulidevi NU, Aryan PR (2011) Human action recognition using dynamic time warping. In: Proceedings of the 2011 international conference on electrical engineering and informatics, pp 1–5. https://doi.org/10.1109/ICEEI.2011.6021605
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献