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dc.date.accessioned 2022-08-18T14:54:50Z
dc.date.available 2022-08-18T14:54:50Z
dc.date.issued 2022
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/140659
dc.description.abstract Different mobile applications and smart systems are being developed to increase users’ wellness and happiness. Unfortunately, some of the most recent technological advances in the field of affective computing, Internet of things or service computing have not yet been included in these solutions. In this paper, we briefly present a smart system that analyses the user’s emotions during her/his diary activities and configures mood regulation experiences when she/he comes back at home. These emotion-aware experiences are based on the Spotify music services and are personalised for each particular user considering her/his musical tastes and preferences. Besides, the system integrates an emotion recognition system based on wearables and artificial intelligence techniques. The recognised emotions are then used to determine the user’s mood and to make decisions on the music interventions to be carried out. en
dc.format.extent 71-75 es
dc.language en es
dc.subject Smart systems es
dc.subject Mood regulation es
dc.subject Mobile applications es
dc.subject Music es
dc.subject Wellbeing es
dc.title A Spotify-based system for promoting the wellbeing en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-950-34-2126-0 es
sedici.creator.person Álvarez, P. es
sedici.creator.person García de Quirós, J. es
sedici.creator.person Baldassarri, S. es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Instituto de Investigación en Informática es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2022-07
sedici.relation.event X Jornadas de Cloud Computing, Big Data & Emerging Topics (La Plata, 2022) es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/139373 es
sedici.relation.bookTitle Short papers of the 10th Conference on Cloud Computing, Big Data & Emerging Topics es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)