The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A Bimodal Face and Body Gesture Database for Automatic Analysis of Human Nonverbal Affective Behavior
Open accessAbstract
To be able to develop and test robust affective multimodal systems, researchers need access to novel databases containing representative samples of human multi-modal expressive behavior. The creation of such databases requires a major effort in the definition of representative behaviors, the choice of expressive modalities, and the collection and labeling of large amount of data. At present, public databases only exist for single expressive modalities such as facial expression analysis. There also exist a number of gesture databases of static and dynamic hand postures and dynamic hand gestures. However, there is not a readily available database combining affective face and body information in a genuine bimodal manner. Accordingly, in this paper, we present a bimodal database recorded by two high-resolution cameras simultaneously for use in automatic analysis of human nonverbal affective behavior
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Cites
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Affect Recognition from Face and Body: Early Fusion vs. Late Fusion
Gunes, H., & Piccardi, M. (2006) · 2005 IEEE International Conference on Systems, Man and Cybernetics · doi:10.1109/icsmc.2005.1571679 · Cited by 191
Self-citation
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Cited by
DEAP: A Database for Emotion Analysis ;Using Physiological Signals
Koelstra, S., Muhl, C., Soleymani, M., Lee, J.-S., Yazdani, A., Ebrahimi, T., Pun, T., Nijholt, A., & Patras, I. (2012) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2011.15 · Cited by 5,093
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
Zeng, Z., Pantic, M., Roisman, G. I., & Huang, T. S. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.52 · Cited by 2,797
Katsigiannis, S., & Ramzan, N. (2018) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2017.2688239 · Cited by 1,135
Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review
Zhang, J., Yin, Z., Chen, P., & Nichele, S. (2020) · Information Fusion · doi:10.1016/j.inffus.2020.01.011 · Cited by 806
Affective Body Expression Perception and Recognition: A Survey
Kleinsmith, A., & Bianchi-Berthouze, N. (2013) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2012.16 · Cited by 607
Metadata
- Authors
- Gunes, H., & Piccardi, M.
- Venue
- 18th International Conference on Pattern Recognition (ICPR'06)
- Publisher
- IEEE
- Published
- 2006
- Pages
- 1148-1153
- ISSN
- 1041-3278 (ISSN-L)
- OpenAlex
- W1978262206
- Cited by
- 199
- References
- 3
- FWCI
- 16.19
- Type
- conference paper
- Language
- en
- Open access
- green
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