The Invisible Potential of Facial Electromyography: A Comparison of EMG and Computer Vision when Distinguishing Posed from Spontaneous Smiles

Monica Perusquía-Hernández, Saho Ayabe-Kanamura, Kenji Suzuki, Shiro Kumano. The Invisible Potential of Facial Electromyography: A Comparison of EMG and Computer Vision when Distinguishing Posed from Spontaneous Smiles. In Stephen A. Brewster, Geraldine Fitzpatrick, Anna L. Cox, Vassilis Kostakos, editors, Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019, Glasgow, Scotland, UK, May 04-09, 2019. pages 149, ACM, 2019. [doi]

@inproceedings{Perusquia-Hernandez19,
  title = {The Invisible Potential of Facial Electromyography: A Comparison of EMG and Computer Vision when Distinguishing Posed from Spontaneous Smiles},
  author = {Monica Perusquía-Hernández and Saho Ayabe-Kanamura and Kenji Suzuki and Shiro Kumano},
  year = {2019},
  doi = {10.1145/3290605.3300379},
  url = {https://doi.org/10.1145/3290605.3300379},
  researchr = {https://researchr.org/publication/Perusquia-Hernandez19},
  cites = {0},
  citedby = {0},
  pages = {149},
  booktitle = {Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019, Glasgow, Scotland, UK, May 04-09, 2019},
  editor = {Stephen A. Brewster and Geraldine Fitzpatrick and Anna L. Cox and Vassilis Kostakos},
  publisher = {ACM},
  isbn = {978-1-4503-5970-2},
}