A Regression Approach for Robust Gait Periodicity Detection with Deep Convolutional Networks

Kejun Wang, Liangliang Liu, Xinnan Ding, Yibo Xu, Haolin Wang. A Regression Approach for Robust Gait Periodicity Detection with Deep Convolutional Networks. In Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou 0001, Tieniu Tan, Nanning Zheng, Hongbin Zha, editors, Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part II. Volume 11257 of Lecture Notes in Computer Science, pages 146-156, Springer, 2018. [doi]

@inproceedings{WangLDXW18,
  title = {A Regression Approach for Robust Gait Periodicity Detection with Deep Convolutional Networks},
  author = {Kejun Wang and Liangliang Liu and Xinnan Ding and Yibo Xu and Haolin Wang},
  year = {2018},
  doi = {10.1007/978-3-030-03335-4_13},
  url = {https://doi.org/10.1007/978-3-030-03335-4_13},
  researchr = {https://researchr.org/publication/WangLDXW18},
  cites = {0},
  citedby = {0},
  pages = {146-156},
  booktitle = {Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part II},
  editor = {Jian-Huang Lai and Cheng-Lin Liu and Xilin Chen and Jie Zhou 0001 and Tieniu Tan and Nanning Zheng and Hongbin Zha},
  volume = {11257},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-03335-4},
}