ML Anthology

Panel: Bodily Expressed Emotion Understanding Research: A Multidisciplinary Perspective

James Z. Wang, Norman I. Badler, Nadia Berthouze, Rick O. Gilmore, Kerri L. Johnson, Àgata Lapedriza, Xin Lu, Nikolaus F. Troje
ECCVW 2020 pp. 733-746
doi:10.1007/978-3-030-66415-2_51 /eccvw/2020/wang2020eccvw-panel/

Abstract

Developing computational methods for bodily expressed emotion understanding can benefit from knowledge and approaches of multiple fields, including computer vision, robotics, psychology/psychiatry, graphics, data mining, machine learning, and movement analysis. The panel, consisting of active researchers in some closely-related fields, attempts to open a discussion on the future of this new and exciting research area. This paper documents the opinions expressed by the individual panelists.

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Cite

Text

Wang et al. "Panel: Bodily Expressed Emotion Understanding Research: A Multidisciplinary Perspective." European Conference on Computer Vision Workshops, 2020. doi:10.1007/978-3-030-66415-2_51

Markdown

[Wang et al. "Panel: Bodily Expressed Emotion Understanding Research: A Multidisciplinary Perspective." European Conference on Computer Vision Workshops, 2020.](https://mlanthology.org/eccvw/2020/wang2020eccvw-panel/) doi:10.1007/978-3-030-66415-2_51

BibTeX

@inproceedings{wang2020eccvw-panel,
  title     = {{Panel: Bodily Expressed Emotion Understanding Research: A Multidisciplinary Perspective}},
  author    = {Wang, James Z. and Badler, Norman I. and Berthouze, Nadia and Gilmore, Rick O. and Johnson, Kerri L. and Lapedriza, Àgata and Lu, Xin and Troje, Nikolaus F.},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2020},
  pages     = {733-746},
  doi       = {10.1007/978-3-030-66415-2_51},
  url       = {https://mlanthology.org/eccvw/2020/wang2020eccvw-panel/}
}