Abstract
For many years, Ekman's work on facial expressions has been the basis for research on facial expression recognition and estimation. However, there are still many unanswered questions regarding the relationship between emotions and facial expressions, such as the recent report that Japanese people do not follow Ekman's theory. In this study, we focused on the eye area, which expresses natural emotions, and analyzed the characteristics of facial feature values that are expressed in situations of internal emotional arousal. We found that the distance between the eyebrows, eye size, mouth size, mouth angle elevation, and pupil diameter were significant indicators of emotional arousal. We also found that pupil diameter is effective in estimating arousal axis by machine learning, as previous studies have shown.
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Yamada, H., Kobayashi, F., Aoyagi, S., Yamamoto, M. (2023). A Study on Eye-Region Expression as Naturally Expressed in a Situation of Spontaneously Evoked Emotions. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1832. Springer, Cham. https://doi.org/10.1007/978-3-031-35989-7_39
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DOI: https://doi.org/10.1007/978-3-031-35989-7_39
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