Abstract
Develo** 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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Notes
- 1.
R1: Doctoral Universities – Very high research activity, as classified in the Carnegie Classification of Institutions of Higher Education.
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Acknowledgment
The opinions expressed in this article are panelists’ personal views. J. Z. Wang is supported by the National Science Foundation under Grant No. 1921783 and the Amazon Research Awards Program. Reginald B. Adams, Jr. and Yelin Kim contributed to the discussions related to the theme of this panel.
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Wang, J.Z. et al. (2020). Panel: Bodily Expressed Emotion Understanding Research: A Multidisciplinary Perspective. In: Bartoli, A., Fusiello, A. (eds) Computer Vision – ECCV 2020 Workshops. ECCV 2020. Lecture Notes in Computer Science(), vol 12535. Springer, Cham. https://doi.org/10.1007/978-3-030-66415-2_51
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