Emotions detection on an ambient intelligent system using wearable devices

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Title: Emotions detection on an ambient intelligent system using wearable devices
Authors: Costa, Angelo | Rincon, Jaime A. | Carrascosa, Carlos | Julián, Vicente | Novais, Paulo
Research Group/s: Laboratorio de Investigación en Visión Móvil (MVRLab)
Center, Department or Service: Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial
Keywords: Multi-agent systems | Emotional agents | Internet of things
Issue Date: 6-Apr-2018
Publisher: Elsevier
Citation: Future Generation Computer Systems. 2019, 92: 479-489. https://doi.org/10.1016/j.future.2018.03.038
Abstract: This paper presents the Emotional Smart Wristband and its integration with the iGenda. The aim is to detect emotional states of a group of entities through the wristband and send the social emotion value to the iGenda so it may change the home environment and notify the caregivers. This project is advantageous to communities of elderly people, like retirement homes, where a harmonious environment is imperative and where the number of inhabitants keeps increasing. The iGenda provides the visual interface and the information center, receiving the information from the Emotional Smart Wristband and tries achieve a specific emotion (such as calm or excitement). Thus, the goal is to provide an affective system that directly interacts with humans by discreetly improving their lifestyle. In this paper, it is described the wristband in depth and the data models, and is provided an evaluation of them performed by real individuals and the validation of this evaluation.
Sponsor: This work is supported by COMPETE, Portugal: POCI-01-0145-FEDER-007043 and FCT —Fundação para a Ciência e Tecnología, Portugal a within the projects UID/CEC/00319/2013 and Post-Doc scholarship SFRH/BPD/102696/2014 (Angelo Costa) This work is partially supported by the MINECO/FEDER, Spain TIN2015-65515-C4-1-R and AP2013-01276 awarded to Jaime-Andres Rincon.
URI: http://hdl.handle.net/10045/139561
ISSN: 0167-739X (Print) | 1872-7115 (Online)
DOI: 10.1016/j.future.2018.03.038
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2018 Elsevier B.V.
Peer Review: si
Publisher version: https://doi.org/10.1016/j.future.2018.03.038
Appears in Collections:INV - MVRLab - Artículos de Revistas

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