Emotion Recognition based on Heart Rate and Skin Conductance

Abstract :

Information on a customer’s emotional states concerning a product or an advertisement is a very important aspect of marketing research. Most studies aimed at identifying emotions through speech or facial expressions. However, these two vary greatly with people’s talking habits, which cause the data lacking continuous availability. Furthermore, bio-signal data is also required in order to fully assess a user’s emotional state in some cases. We focused on recognising the six basic primary emotions proposed by Ekman using biofeedback sensors, which measure heart rate and skin conductance. Participants were shown a series of 12 video-based stimuli that have been validated by a subjective rating protocol. Experiment results showed that the collected signals allow us to identify user's emotional state with a good ratio. In addition, a partial correlation between objective and subjective data has been observed

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Communication dans un congrès
Proceedings of the International Conference on Physiological Computing System, 2015, Angers, France. 2015, 〈10.5220/0005241100260032〉
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https://hal.archives-ouvertes.fr/hal-01393809
Contributeur : Okina Université d'Angers <>
Soumis le : mardi 8 novembre 2016 - 11:00:44
Dernière modification le : vendredi 11 janvier 2019 - 12:12:02

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Mickael Ménard, Paul Richard, Hamza Hamdi, Bruno Dauce, Takehiko Yamaguchi. Emotion Recognition based on Heart Rate and Skin Conductance. Proceedings of the International Conference on Physiological Computing System, 2015, Angers, France. 2015, 〈10.5220/0005241100260032〉. 〈hal-01393809〉

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