Architecture logicielle et matérielle d'un système de détection des émotions utilisant les signaux physiologiques. Application à la mnémothérapie musicale

Abstract : This thesis work is part of the field of affective computing and more specifically artificial intelligence and architectural exploration. The goal of this work is to design a complete system of emotions detection using physiological signals. This work is therefore situated at the intersection of computer science for the definition of algorithm of detection of emotions and electronics for the development of an architecture exploration methodology for the design of sensor nodes. At first, algorithms for multimodal and instantaneous detection of emotions were defined. Two algorithms of classification KNN then SVM, were implemented and made it possible to obtain a recognition rate of the emotions higher than 80%. To design such a battery-powered system, an analytical model for estimating the power consumption at high level of abstraction has been proposed and validated on a real platform. To consider user constraints, a connected object architecture design and simulation tool for health has been developed, allowing the performance of systems to be evaluated prior to their design. Then, we used this tool to propose a hardware/software architecture for the collection and the processing of the data satisfying the architectural and applicative constraints. With this architecture, experiments have been conducted for musical Mnemotherapy. EMOTICA is a complete system for emotions detection using physiological signals satisfying the constraints of architecture, application and user.
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Submitted on : Tuesday, November 27, 2018 - 3:32:08 PM
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Chaka Koné. Architecture logicielle et matérielle d'un système de détection des émotions utilisant les signaux physiologiques. Application à la mnémothérapie musicale. Electronique. Université Côte d'Azur, 2018. Français. ⟨NNT : 2018AZUR4042⟩. ⟨tel-01936711⟩

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