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On the role of head motion in affective expression
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Samanta, Atanu and Guha, Tanaya (2017) On the role of head motion in affective expression. In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA, 5-9 March 2017 pp. 2886-2890. ISBN 9781509041176. doi:10.1109/ICASSP.2017.7952684 ISSN 2379-190X.
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Official URL: http://dx.doi.org/10.1109/ICASSP.2017.7952684
Abstract
Non-verbal behavioral cues, such as head movement, play a significant role in human communication and affective expression. Although facial expression and gestures have been extensively studied in the context of emotion understanding, the head motion (which accompany both) is relatively less understood. This paper studies the significance of head movement in adult's affect communication using videos from movies. These videos are taken from the Acted Facial Expression in the Wild (AFEW) database and are labeled with seven basic emotion categories: anger, disgust, fear, joy, neutral, sadness, and surprise. Considering human head as a rigid body, we estimate the head pose at each video frame in terms of the three Euler angles, and obtain a time-series representation of head motion. First, we investigate the importance of the energy of angular head motion dynamics (displacement, velocity and acceleration) in discriminating among emotions. Next, we analyze the temporal variation of head motion by fitting an autoregressive model to the head motion time series. We observe that head motion carries sufficient information to distinguish any emotion from the rest with high accuracy and this information is complementary to that of facial expression as it helps improve emotion recognition accuracy.
Item Type: | Conference Item (Paper) | ||||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
Library of Congress Subject Headings (LCSH): | Nonverbal communication -- Data processing, Body language, Facial expression | ||||||
Publisher: | IEEE | ||||||
ISBN: | 9781509041176 | ||||||
ISSN: | 2379-190X | ||||||
Book Title: | 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | ||||||
Official Date: | 19 June 2017 | ||||||
Dates: |
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Page Range: | pp. 2886-2890 | ||||||
DOI: | 10.1109/ICASSP.2017.7952684 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Reuse Statement (publisher, data, author rights): | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 17 October 2018 | ||||||
Date of first compliant Open Access: | 18 October 2018 | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | ||||||
Location of Event: | New Orleans, LA, USA | ||||||
Date(s) of Event: | 5-9 March 2017 |
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