000118658 001__ 118658 000118658 005__ 20240319081022.0 000118658 0247_ $$2doi$$a10.3390/app12125804 000118658 0248_ $$2sideral$$a129639 000118658 037__ $$aART-2022-129639 000118658 041__ $$aeng 000118658 100__ $$0(orcid)0000-0002-3843-6796$$aNavarro Alamán, J. 000118658 245__ $$aEmotIoT: an IoT system to improve users’ wellbeing 000118658 260__ $$c2022 000118658 5060_ $$aAccess copy available to the general public$$fUnrestricted 000118658 5203_ $$aIoT provides applications and possibilities to improve people’s daily lives and business environments. However, most of these technologies have not been exploited in the field of emotions. With the amount of data that can be collected through IoT, emotions could be detected and anticipated. Since the study of related works indicates a lack of methodological approaches in designing IoT systems from the perspective of emotions and smart adaption rules, we introduce a methodology that can help design IoT systems quickly in this scenario, where the detection of users is valuable. In order to test the methodology presented, we apply the proposed stages to design an IoT smart recommender system named EmotIoT. The system allows anticipating and predicting future users’ emotions using parameters collected from IoT devices. It recommends new activities for the user in order to obtain a final state. Test results validate our recommender system as it has obtained more than 80% accuracy in predicting future user emotions. 000118658 536__ $$9info:eu-repo/grantAgreement/ES/CYTED/518RT0558$$9info:eu-repo/grantAgreement/ES/DGA/T25-17D$$9info:eu-repo/grantAgreement/ES/MCIU-AEI-FEDER/RTI2018-096986-B-C31$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2017-88327-R 000118658 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000118658 590__ $$a2.7$$b2022 000118658 592__ $$a0.492$$b2022 000118658 591__ $$aPHYSICS, APPLIED$$b78 / 160 = 0.488$$c2022$$dQ2$$eT2 000118658 591__ $$aENGINEERING, MULTIDISCIPLINARY$$b42 / 90 = 0.467$$c2022$$dQ2$$eT2 000118658 591__ $$aCHEMISTRY, MULTIDISCIPLINARY$$b100 / 178 = 0.562$$c2022$$dQ3$$eT2 000118658 591__ $$aMATERIALS SCIENCE, MULTIDISCIPLINARY$$b208 / 343 = 0.606$$c2022$$dQ3$$eT2 000118658 593__ $$aFluid Flow and Transfer Processes$$c2022$$dQ2 000118658 593__ $$aMaterials Science (miscellaneous)$$c2022$$dQ2 000118658 593__ $$aEngineering (miscellaneous)$$c2022$$dQ2 000118658 593__ $$aInstrumentation$$c2022$$dQ2 000118658 593__ $$aProcess Chemistry and Technology$$c2022$$dQ3 000118658 593__ $$aComputer Science Applications$$c2022$$dQ3 000118658 594__ $$a4.5$$b2022 000118658 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000118658 700__ $$0(orcid)0000-0002-4773-4904$$aLacuesta, R.$$uUniversidad de Zaragoza 000118658 700__ $$aGarcía-Magariño, I. 000118658 700__ $$aLloret, J. 000118658 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000118658 773__ $$g12, 12 (2022), 5804 [15 pp.]$$pAppl. sci.$$tApplied Sciences (Switzerland)$$x2076-3417 000118658 8564_ $$s3571556$$uhttps://zaguan.unizar.es/record/118658/files/texto_completo.pdf$$yVersión publicada 000118658 8564_ $$s2682306$$uhttps://zaguan.unizar.es/record/118658/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000118658 909CO $$ooai:zaguan.unizar.es:118658$$particulos$$pdriver 000118658 951__ $$a2024-03-18-16:22:33 000118658 980__ $$aARTICLE