Using Non-invasive Wearables for Detecting Emotions with Intelligent Agents
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Andres Rincon, Jaime [1] ; Ângelo Costa [2] ; Paulo Novais [2] ; Vicente Julian [1] ; Carlos Carrascosa [1]
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[1] Universidad Politécnica de Valencia
Universidad Politécnica de Valencia
Valencia, España
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[2] Universidade do Minho
Universidade do Minho
Braga (São José de São Lázaro), Portugal
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- Localización: International Joint Conference SOCO’16-CISIS’16-ICEUTE’16: San Sebastián, Spain, October 19th-21st, 2016 Proceedings / coord. por Manuel Graña Romay, José Manuel López Guede, Oier Echaniz, Álvaro Herrero Cosío, Héctor Quintián Pardo, Emilio Santiago Corchado Rodríguez, 2017, ISBN 978-3-319-47364-2, págs. 73-84
- Idioma: inglés
- Texto completo no disponible (Saber más ...)
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Resumen
This paper proposes the use of intelligent wristbands for the automatic detection of emotional states in order to develop an application which allows to extract, analyze, represent and manage the social emotion of a group of entities. Nowadays, the detection of the joined emotion of an heterogeneous group of people is still an open issue. Most of the existing approaches are centered in the emotion detection and management of a single entity. Concretely, the application tries to detect how music can influence in a positive or negative way over individuals’ emotional states. The main goal of the proposed system is to play music that encourages the increase of happiness of the overall patrons.
