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Applied Computational Intelligence and Soft Computing
Volume 2017, Article ID 5861435, 11 pages
https://doi.org/10.1155/2017/5861435
Research Article

Mining Key Skeleton Poses with Latent SVM for Action Recognition

1School of Computer Engineering and Science, Shanghai University, Shanghai, China
2School of Mathematic and Statistics, Nanyang Normal University, Nanyang, China

Correspondence should be addressed to Xiaoqiang Li; nc.ude.uhs.i@ilqx and Dong Liao; nc.ude.unyn@gnodoail

Received 23 August 2016; Revised 8 November 2016; Accepted 15 December 2016; Published 23 January 2017

Academic Editor: Lei Zhang

Copyright © 2017 Xiaoqiang Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

The following is the list of published articles that have cited the current article.

  • Md. Nazmul Haque, Mahir Mahbub, Md. Hasan Tarek, Lutfun Nahar Lota, and Amin Ahsan Ali, “Nurse care activity recognition,” Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers - UbiComp/ISWC '19, pp. 719–723, . View at Publisher · View at Google Scholar
  • Md. Eusha Kadir, Pritom Saha Akash, Sadia Sharmin, Amin Ahsan Ali, and Mohammad Shoyaib, “Can a simple approach identify complex nurse care activity?,” Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers - UbiComp/ISWC '19, pp. 736–740, . View at Publisher · View at Google Scholar
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  • Bo Li, Baoxing Bai, and Cheng Han, “Upper body motion recognition based on key frame and random forest regression,” Multimedia Tools and Applications, 2018. View at Publisher · View at Google Scholar
  • Xiaoqiang Li, Yi Zhang, and Junhui Zhang, “Improved Key Poses Model for Skeleton-Based Action Recognition,” Advances in Multimedia Information Processing – PCM 2017, vol. 10736, pp. 358–367, 2018. View at Publisher · View at Google Scholar
  • Xiao-Feng Wang, Chun-Ling Hu, Chao Tang, Miao-Hui Zhang, Wei Li, and Feng Cao, “Human action recognition using Kinect multimodal information,” Proceedings of SPIE - The International Society for Optical Engineering, vol. 10835, 2018. View at Publisher · View at Google Scholar
  • Yan Miao, Zhao Zetong, Zhang Jie, Zhao Hongdong, and Li Yuhai, “Classifier for recognition of fine-grained vehicle models under complex background,” Laser and Optoelectronics Progress, vol. 56, no. 4, 2019. View at Publisher · View at Google Scholar