Bodily Expressed Emotion Understanding Research: A Multidisciplinary Perspective (Panel)

James Z. Wang (Chair) (1), Norman Badler (2), Nadia Berthouze (3), Rick O. Gilmore (1),
Kerri L. Johnson (4), Agata Lapedriza (5,6), Xin Lu (7), and Nikolaus Troje (8)

(1) The Pennsylvania State University, University Park, Pennsylvania, USA
(2) University of Pennsylvania, Philadelphia, Pennsylvania, USA
(3) University College London, London, United Kingdom
(4) University of California, Los Angeles, California, USA
(5) Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
(6) Universitat Oberta de Catalunya, Barcelona, Spain
(7) Adobe Inc., San Jose, California, USA
(8) York University, Toronto, Ontario, Canada

Developing computational methods for bodily expressed emotion understanding can benet from knowledge and approaches of multiple elds, including computer vision, robotics, psychology/psychiatry, graphics, data mining, machine learning, and movement analysis. The panel, consisting of active researchers in some closely-related elds, 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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Citation: James Z. Wang, Norman Badler, Nadia Berthouze, Rick O. Gilmore, Kerri L. Johnson, Agata Lapedriza, Xin Lu and Nikolaus Troje, ``Bodily Expressed Emotion Understanding Research: A Multidisciplinary Perspective,'' Proceedings of the First International Workshop on Bodily Expressed Emotion Understanding, in conjunction with the European Computer Vision Conference, pp. 1-14, Virtual, August 2020.

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Last Modified: October 15, 2020
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