EmotIoT: an IoT system to improve users’ wellbeing

Navarro Alamán, J. ; Lacuesta, R. (Universidad de Zaragoza) ; García-Magariño, I. ; Lloret, J.

Resumen: 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.

Idioma: Inglés

DOI: 10.3390/app12125804

Año: 2022

Publicado en: Applied Sciences (Switzerland) 12, 12 (2022), 5804 [15 pp.]
ISSN: 2076-3417

Factor impacto JCR: 2.7 (2022)

Categ. JCR: PHYSICS, APPLIED rank: 78 / 160 = 0.488 (2022) - Q2 - T2
Categ. JCR: ENGINEERING, MULTIDISCIPLINARY rank: 42 / 90 = 0.467 (2022) - Q2 - T2
Categ. JCR: CHEMISTRY, MULTIDISCIPLINARY rank: 100 / 178 = 0.562 (2022) - Q3 - T2
Categ. JCR: MATERIALS SCIENCE, MULTIDISCIPLINARY rank: 208 / 343 = 0.606 (2022) - Q3 - T2

Factor impacto CITESCORE: 4.5 - Engineering (Q2) - Materials Science (Q2) - Chemical Engineering (Q2) - Computer Science (Q2) - Physics and Astronomy (Q2)

Factor impacto SCIMAGO: 0.492 - Fluid Flow and Transfer Processes (Q2) - Materials Science (miscellaneous) (Q2) - Engineering (miscellaneous) (Q2) - Instrumentation (Q2) - Process Chemistry and Technology (Q3) - Computer Science Applications (Q3)

Financiación: info:eu-repo/grantAgreement/ES/CYTED/518RT0558
Financiación: info:eu-repo/grantAgreement/ES/DGA/T25-17D
Financiación: info:eu-repo/grantAgreement/ES/MCIU-AEI-FEDER/RTI2018-096986-B-C31
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TIN2017-88327-R

Tipo y forma: Article (Published version)

Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)