Affective Body Expression Perception and Recognition: A Survey

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https://ieeexplore.ieee.org/document/6212434

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https://doi.org/10.1109/T-AFFC.2012.16
 http://hdl.handle.net/11603/29980

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UMBC Information Systems Department

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https://orcid.org/0000-0003-1007-2553

Date

2012-06-05

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journal articles
preprints
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Citation of Original Publication

A. Kleinsmith and N. Bianchi-Berthouze, "Affective Body Expression Perception and Recognition: A Survey," in IEEE Transactions on Affective Computing, vol. 4, no. 1, pp. 15-33, Jan.-March 2013, doi: 10.1109/T-AFFC.2012.16.

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© 2012 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.

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Abstract

Thanks to the decreasing cost of whole-body sensing technology and its increasing reliability, there is an increasing interest in, and understanding of, the role played by body expressions as a powerful affective communication channel. The aim of this survey is to review the literature on affective body expression perception and recognition. One issue is whether there are universal aspects to affect expression perception and recognition models or if they are affected by human factors such as culture. Next, we discuss the difference between form and movement information as studies have shown that they are governed by separate pathways in the brain. We also review psychological studies that have investigated bodily configurations to evaluate if specific features can be identified that contribute to the recognition of specific affective states. The survey then turns to automatic affect recognition systems using body expressions as at least one input modality. The survey ends by raising open questions on data collecting, labeling, modeling, and setting benchmarks for comparing automatic recognition systems.