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dc.date.accessioned 2022-08-18T15:03:10Z
dc.date.available 2022-08-18T15:03:10Z
dc.date.issued 2022
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/140661
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 76-80 es
dc.language en es
dc.subject Early severity detection es
dc.subject E-health monitoring es
dc.subject Fault tolerant distributed architecture es
dc.title Towards a resilient e-health system for monitoring and early detection of severity in hospitalized patients during a pandemic en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-950-34-2126-0 es
sedici.creator.person Cañibano, Rodrigo S. es
sedici.creator.person Castagno, Santino es
sedici.creator.person Conchillo, Mariano es
sedici.creator.person Chiarotto, Guillermo es
sedici.creator.person Rozas, Claudia es
sedici.creator.person Zanellato, Claudio es
sedici.creator.person Orlandi, Cristina es
sedici.creator.person Balladini, Javier 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) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)