ITE Transactions on Media Technology and Applications
Online ISSN : 2186-7364
Regular Section
[Paper] Monitoring Emotion by Remote Measurement of Physiological Signals Using an RGB Camera
Genki OkadaTaku YonezawaKouki KuritaNorimichi Tsumura
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2018 Volume 6 Issue 1 Pages 131-137


In this paper, we propose a method of emotion monitoring using physiological signals such as RR intervals and blood volumes obtained by analyzing hemoglobin concentrations from facial color images. Emotion monitoring has great potential in areas such as market research, safety, medical and robot systems. The most popular method of emotion monitoring uses physiological signals. However, it is difficult to apply the commonly used methods in practice because special instruments such as electrodes or laser speckle flowgraphy are required to obtain physiological signals. The proposed method uses a simple RGB camera. Using 27 features calculated from the physiological signals obtained from facial RGB images, we classified five emotional states, amusement, anger, disgust, sadness and surprise, with 94% accuracy.

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© 2018 The Institute of Image Information and Television Engineers
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