Emotion recognition using musical mnemotherapy with three physiological sensors

Abstract : It exists some non-drug therapy relaying emotions to take care Alzheimer patients. This paper presents a new application for emotions detection. Indeed, a subject listen music to stimulate his emotional state and 3 physiological sensors are used to acquire his bio-signals for emotions detection. After constructing an emotion data base during the learning phase, we apply the recognition algorithm on each modality separately. Then, these decisions are merged separately by applying a decision level fusion. The experiments show the strength of our methodology to detect efficaciously these 3 emotional states when a subject is listening to music, indeed, we get a recognition rate of 84.245%
Type de document :
Communication dans un congrès
elsevier. 10th International Conference on ICT, Society and Human Beings, Jul 2017, lisbon, Portugal. 2017, 〈http://ict-conf.org/〉
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https://hal.archives-ouvertes.fr/hal-01624021
Contributeur : Sophie Gaffé-Clément <>
Soumis le : jeudi 26 octobre 2017 - 08:19:52
Dernière modification le : vendredi 27 octobre 2017 - 01:14:57

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  • HAL Id : hal-01624021, version 1

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Chaka Koné, Cécile Belleudy, Jean Claude Broutart, Nhan Le Thanh. Emotion recognition using musical mnemotherapy with three physiological sensors. elsevier. 10th International Conference on ICT, Society and Human Beings, Jul 2017, lisbon, Portugal. 2017, 〈http://ict-conf.org/〉. 〈hal-01624021〉

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