@inproceedings{9ccdb81baf444f0ba3993541c07f23d7,
title = "Panel: Bodily Expressed Emotion Understanding Research: A Multidisciplinary Perspective",
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.",
author = "Wang, {James Z.} and Norman Badler and Nadia Berthouze and Gilmore, {Rick O.} and Johnson, {Kerri L.} and Agata Lapedriza and Xin Lu and Nikolaus Troje",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; Workshops held at the 16th European Conference on Computer Vision, ECCV 2020 ; Conference date: 23-08-2020 Through 28-08-2020",
year = "2020",
doi = "10.1007/978-3-030-66415-2_51",
language = "English (US)",
isbn = "9783030664145",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "733--746",
editor = "Adrien Bartoli and Andrea Fusiello",
booktitle = "Computer Vision – ECCV 2020 Workshops, Proceedings",
address = "Germany",
}