118658 20240319081022.0 doi 10.3390/app12125804 sideral 129639 ART-2022-129639 eng Navarro Alamán, J. (orcid)0000-0002-3843-6796 EmotIoT: an IoT system to improve users’ wellbeing 2022 Access copy available to the general public Unrestricted IoT provides applications and possibilities to improve people’s daily lives and business environments. However, most of these technologies have not been exploited in the field of emotions. With the amount of data that can be collected through IoT, emotions could be detected and anticipated. Since the study of related works indicates a lack of methodological approaches in designing IoT systems from the perspective of emotions and smart adaption rules, we introduce a methodology that can help design IoT systems quickly in this scenario, where the detection of users is valuable. In order to test the methodology presented, we apply the proposed stages to design an IoT smart recommender system named EmotIoT. The system allows anticipating and predicting future users’ emotions using parameters collected from IoT devices. It recommends new activities for the user in order to obtain a final state. Test results validate our recommender system as it has obtained more than 80% accuracy in predicting future user emotions. info:eu-repo/grantAgreement/ES/CYTED/518RT0558 info:eu-repo/grantAgreement/ES/DGA/T25-17D info:eu-repo/grantAgreement/ES/MCIU-AEI-FEDER/RTI2018-096986-B-C31 info:eu-repo/grantAgreement/ES/MINECO/TIN2017-88327-R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.7 2022 PHYSICS, APPLIED 78 / 160 = 0.488 2022 Q2 T2 ENGINEERING, MULTIDISCIPLINARY 42 / 90 = 0.467 2022 Q2 T2 CHEMISTRY, MULTIDISCIPLINARY 100 / 178 = 0.562 2022 Q3 T2 MATERIALS SCIENCE, MULTIDISCIPLINARY 208 / 343 = 0.606 2022 Q3 T2 0.492 2022 Fluid Flow and Transfer Processes 2022 Q2 Materials Science (miscellaneous) 2022 Q2 Engineering (miscellaneous) 2022 Q2 Instrumentation 2022 Q2 Process Chemistry and Technology 2022 Q3 Computer Science Applications 2022 Q3 4.5 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Lacuesta, R. Universidad de Zaragoza (orcid)0000-0002-4773-4904 García-Magariño, I. Lloret, J. 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 12, 12 (2022), 5804 [15 pp.] Appl. sci. Applied Sciences (Switzerland) 2076-3417 3571556 http://zaguan.unizar.es/record/118658/files/texto_completo.pdf Versión publicada 2682306 http://zaguan.unizar.es/record/118658/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:118658 articulos driver 2024-03-18-16:22:33 ARTICLE