Anthropometric Features Based Gait Pattern Prediction Using Random Forest for Patient-Specific Gait Training

Shixin Ren, Weiqun Wang, Zeng-Guang Hou, Xu Liang, Jiaxing Wang, Liang Peng. Anthropometric Features Based Gait Pattern Prediction Using Random Forest for Patient-Specific Gait Training. In Long Cheng 0001, Andrew Chi-Sing Leung, Seiichi Ozawa, editors, Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part IV. Volume 11304 of Lecture Notes in Computer Science, pages 15-26, Springer, 2018. [doi]

@inproceedings{RenWHLWP18,
  title = {Anthropometric Features Based Gait Pattern Prediction Using Random Forest for Patient-Specific Gait Training},
  author = {Shixin Ren and Weiqun Wang and Zeng-Guang Hou and Xu Liang and Jiaxing Wang and Liang Peng},
  year = {2018},
  doi = {10.1007/978-3-030-04212-7_2},
  url = {https://doi.org/10.1007/978-3-030-04212-7_2},
  researchr = {https://researchr.org/publication/RenWHLWP18},
  cites = {0},
  citedby = {0},
  pages = {15-26},
  booktitle = {Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part IV},
  editor = {Long Cheng 0001 and Andrew Chi-Sing Leung and Seiichi Ozawa},
  volume = {11304},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-04212-7},
}