Software architecture for smart emotion recognition and regulation of the ageing adult
This paper introduces the architecture of an emotion-aware ambient intelligent and gerontechnological project named “Improvement of the Elderly Quality of Life and Care through Smart Emotion Regulation”. The objective of the proposal is to find solutions for improving the quality of life and care of...
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ftunivcarlosmadr:oai:e-archivo.uc3m.es:10016/35572 2024-01-21T10:07:25+01:00 Software architecture for smart emotion recognition and regulation of the ageing adult Castillo Montoya, José Carlos Castro González, Álvaro Fernández Caballero, Antonio Latorre, José Miguel Pastor García, José Manuel Fernández Soto, Alicia Salichs Sánchez-Caballero, Miguel Ministerio de Economía y Competitividad (España) 2016-02-12 http://hdl.handle.net/10016/35572 https://doi.org/10.1007/s12559-016-9383-y eng eng Springer Gobierno de España. TIN2013-47074-C2-1-R Cognitive Computation, (2016), v. 8, 357–367. 1866-9956 http://hdl.handle.net/10016/35572 https://doi.org/10.1007/s12559-016-9383-y 357 2 367 Cognitive Computation 8 AR/0000017962 © Springer Science+Business Media New York 2016. open access Emotion recognition Emotion regulation Ambient intelligence Gerontechnology Software architecture Robótica e Informática Industrial research article AM 2016 ftunivcarlosmadr https://doi.org/10.1007/s12559-016-9383-y 2023-12-27T00:20:23Z This paper introduces the architecture of an emotion-aware ambient intelligent and gerontechnological project named “Improvement of the Elderly Quality of Life and Care through Smart Emotion Regulation”. The objective of the proposal is to find solutions for improving the quality of life and care of the elderly who can or want to continue living at home by using emotion regulation techniques. A series of sensors is used for monitoring the elderlies’ facial and gestural expression, activity and behaviour, as well as relevant physiological data. This way the older people’s emotions are inferred and recognized. Music, colour and light are the stimulating means to regulate their emotions towards a positive and pleasant mood. Then, the paper proposes a gerontechnological software architecture that enables real-time, continuous monitoring of the elderly and provides the best-tailored reactions of the ambience in order to regulate the older person’s emotions towards a positive mood. After describing the benefits of the approach for emotion recognition and regulation in the elderly, the eight levels that compose the architecture are described. This work was partially supported by Spanish Ministerio de Economía y Competitividad/FEDER under TIN2013-47074-C2-1-R grant. José Carlos Castillo was partially supported by a grant from Iceland, Liechtenstein and Norway through the EEA Financial Mechanism, operated by Universidad Complutense de Madrid. Publicado Article in Journal/Newspaper Iceland Universidad Carlos III de Madrid: e-Archivo Norway Cognitive Computation 8 2 357 367 |
institution |
Open Polar |
collection |
Universidad Carlos III de Madrid: e-Archivo |
op_collection_id |
ftunivcarlosmadr |
language |
English |
topic |
Emotion recognition Emotion regulation Ambient intelligence Gerontechnology Software architecture Robótica e Informática Industrial |
spellingShingle |
Emotion recognition Emotion regulation Ambient intelligence Gerontechnology Software architecture Robótica e Informática Industrial Castillo Montoya, José Carlos Castro González, Álvaro Fernández Caballero, Antonio Latorre, José Miguel Pastor García, José Manuel Fernández Soto, Alicia Salichs Sánchez-Caballero, Miguel Software architecture for smart emotion recognition and regulation of the ageing adult |
topic_facet |
Emotion recognition Emotion regulation Ambient intelligence Gerontechnology Software architecture Robótica e Informática Industrial |
description |
This paper introduces the architecture of an emotion-aware ambient intelligent and gerontechnological project named “Improvement of the Elderly Quality of Life and Care through Smart Emotion Regulation”. The objective of the proposal is to find solutions for improving the quality of life and care of the elderly who can or want to continue living at home by using emotion regulation techniques. A series of sensors is used for monitoring the elderlies’ facial and gestural expression, activity and behaviour, as well as relevant physiological data. This way the older people’s emotions are inferred and recognized. Music, colour and light are the stimulating means to regulate their emotions towards a positive and pleasant mood. Then, the paper proposes a gerontechnological software architecture that enables real-time, continuous monitoring of the elderly and provides the best-tailored reactions of the ambience in order to regulate the older person’s emotions towards a positive mood. After describing the benefits of the approach for emotion recognition and regulation in the elderly, the eight levels that compose the architecture are described. This work was partially supported by Spanish Ministerio de Economía y Competitividad/FEDER under TIN2013-47074-C2-1-R grant. José Carlos Castillo was partially supported by a grant from Iceland, Liechtenstein and Norway through the EEA Financial Mechanism, operated by Universidad Complutense de Madrid. Publicado |
author2 |
Ministerio de Economía y Competitividad (España) |
format |
Article in Journal/Newspaper |
author |
Castillo Montoya, José Carlos Castro González, Álvaro Fernández Caballero, Antonio Latorre, José Miguel Pastor García, José Manuel Fernández Soto, Alicia Salichs Sánchez-Caballero, Miguel |
author_facet |
Castillo Montoya, José Carlos Castro González, Álvaro Fernández Caballero, Antonio Latorre, José Miguel Pastor García, José Manuel Fernández Soto, Alicia Salichs Sánchez-Caballero, Miguel |
author_sort |
Castillo Montoya, José Carlos |
title |
Software architecture for smart emotion recognition and regulation of the ageing adult |
title_short |
Software architecture for smart emotion recognition and regulation of the ageing adult |
title_full |
Software architecture for smart emotion recognition and regulation of the ageing adult |
title_fullStr |
Software architecture for smart emotion recognition and regulation of the ageing adult |
title_full_unstemmed |
Software architecture for smart emotion recognition and regulation of the ageing adult |
title_sort |
software architecture for smart emotion recognition and regulation of the ageing adult |
publisher |
Springer |
publishDate |
2016 |
url |
http://hdl.handle.net/10016/35572 https://doi.org/10.1007/s12559-016-9383-y |
geographic |
Norway |
geographic_facet |
Norway |
genre |
Iceland |
genre_facet |
Iceland |
op_relation |
Gobierno de España. TIN2013-47074-C2-1-R Cognitive Computation, (2016), v. 8, 357–367. 1866-9956 http://hdl.handle.net/10016/35572 https://doi.org/10.1007/s12559-016-9383-y 357 2 367 Cognitive Computation 8 AR/0000017962 |
op_rights |
© Springer Science+Business Media New York 2016. open access |
op_doi |
https://doi.org/10.1007/s12559-016-9383-y |
container_title |
Cognitive Computation |
container_volume |
8 |
container_issue |
2 |
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357 |
op_container_end_page |
367 |
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1788698012038463488 |