A feasibility study of a video-based heart rate estimation method with convolutional neural networks

Senle Zhang, Rencheng Song, Juan Cheng, Yunfei Zhang, Xun Chen 0001. A feasibility study of a video-based heart rate estimation method with convolutional neural networks. In IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2019, Tianjin, China, June 14-16, 2019. pages 1-5, IEEE, 2019. [doi]

@inproceedings{ZhangSCZ019,
  title = {A feasibility study of a video-based heart rate estimation method with convolutional neural networks},
  author = {Senle Zhang and Rencheng Song and Juan Cheng and Yunfei Zhang and Xun Chen 0001},
  year = {2019},
  doi = {10.1109/CIVEMSA45640.2019.9071634},
  url = {https://doi.org/10.1109/CIVEMSA45640.2019.9071634},
  researchr = {https://researchr.org/publication/ZhangSCZ019},
  cites = {0},
  citedby = {0},
  pages = {1-5},
  booktitle = {IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2019, Tianjin, China, June 14-16, 2019},
  publisher = {IEEE},
  isbn = {978-1-5386-8344-6},
}