The DOI matches its Crossref record; 169 of the 169 references it cites were found in a registry or an index.
Affective Body Expression Perception and Recognition: A Survey
Open accessAbstract
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.
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Cited by
Survey on Emotional Body Gesture Recognition
Noroozi, F., Corneanu, C. A., Kaminska, D., Sapinski, T., Escalera, S., & Anbarjafari, G. (2021) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2018.2874986 · Cited by 455
Gunes, H., & Schuller, B. (2013) · Image and Vision Computing · doi:10.1016/j.imavis.2012.06.016 · Cited by 360
An Efficient LSTM Network for Emotion Recognition From Multichannel EEG Signals
Du, X., Ma, C., Zhang, G., Li, J., Lai, Y.-K., Zhao, G., Deng, X., Liu, Y.-J., & Wang, H. (2022) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2020.3013711 · Cited by 357
Learning deep physiological models of affect
Martinez, H. P., Bengio, Y., & Yannakakis, G. N. (2013) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2013.2247823 · Cited by 287
Automatic ECG-Based Emotion Recognition in Music Listening
Hsu, Y.-L., Wang, J.-S., Chiang, W.-C., & Hung, C.-H. (2020) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2017.2781732 · Cited by 258
Metadata
- Authors
- Kleinsmith, A., & Bianchi-Berthouze, N.
- Venue
- IEEE Transactions on Affective Computing
- Published
- 2013-01
- Volume
- 4
- Issue
- 1
- Pages
- 15-33
- ISSN
- 1949-3045 (ISSN-L)
- OpenAlex
- W2024221294
- Cited by
- 607
- References
- 169
- FWCI
- 57.90
- Type
- journal article
- Language
- en
- Open access
- green
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