Emotion recognition: The role of facial movement and the relative importance of upper and lower areas of the face.
Abstract
In order to investigate the role of facial movement in the recognition of emotions, faces were covered with black makeup and white spots. Video recordings of such faces were played back so that only the white spots were visible. The results demonstrated that moving displays of happiness, sadness, fear, surprise, anger and disgust were recognized more accurately than static displays of the white spots at the apex of the expressions. This indicated that facial motion, in the absence of information about the shape and position of facial features, is informative about these basic emotions. Normally illuminated dynamic displays of these expressions, however, were recognized more accurately than displays of moving spots. The relative effectiveness of upper and lower facial areas for the recognition of these six emotions was also investigated using normally illuminated and spots-only displays. In both instances the results indicated that different facial regions are more informative for different emitions. The movement patterns characterizing the various emotional expressions as well as common confusions between emotions are also discussed.
Cites (1)
- Facial action coding systemEkman, Paul, Friesen, Wallace V. · 2019 · PsycTESTS Dataset
Cited by (26)
- Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial ExpressionsZhao, Guoying, Pietikainen, Matti · 2007 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Emotion recognition in human-computer interactionCowie, R., Douglas-Cowie, E., Tsapatsoulis, N., Votsis, G., Kollias, S., Fellenz, W., Taylor, J.G. · 2001 · IEEE Signal Processing Magazine
- Toward machine emotional intelligence: analysis of affective physiological statePicard, R.W., Vyzas, E., Healey, J. · 2001 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Facial expression recognition based on Local Binary Patterns: A comprehensive studyShan, Caifeng, Gong, Shaogang, McOwan, Peter W. · 2009 · Image and Vision Computing
- Emotional expressions reconsidered: Challenges to inferring emotion from human facial movementsBarrett, Lisa Feldman, Adolphs, Ralph, Marsella, Stacy, Martinez, Aleix M., Pollak, Seth D. · 2019 · Psychological Science in the Public Interest
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Emotion recognition: The role of facial movement and the relative importance of upper and lower areas of the face. https://app.cochat.ai/papers/10.1037//0022-3514.37.11.2049
- The paper
- Bassili, J. N. (1979). Emotion recognition: The role of facial movement and the relative importance of upper and lower areas of the face. Journal of Personality and Social Psychology. https://doi.org/10.1037//0022-3514.37.11.2049
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.