Chen, Siyuan;
Cho, Youngjun;
Yu, Kun;
Ferrari, Laura M;
Bremond, Francois;
(2022)
Editorial: Recognizing the state of emotion, cognition and action from physiological and behavioral signals.
[Scholarly edition].
Frontiers
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| Type: | Scholarly edition |
|---|---|
| Title: | Editorial: Recognizing the state of emotion, cognition and action from physiological and behavioral signals |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3389/fcomp.2022.998416 |
| Publisher version: | https://doi.org/10.3389/fcomp.2022.998416 |
| Language: | English |
| Additional information: | © 2022 Chen, Cho, Yu, Ferrari and Bremond. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| Keywords: | Computational psychophysiology, affective computing, human computer interaction, human factors, assistive technology, signal processing, pattern recognition, machine learning |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10155679 |
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