86503 20200716101510.0 doi 10.1016/j.eswa.2019.01.021 sideral 110347 ART-2019-110347 eng (orcid)0000-0002-2726-6760 García-Magariño, I. A mobile application to report and detect 3D body emotional poses 2019 Access copy available to the general public Unrestricted Most research into automatic emotion recognition is focused on facial expressions or physiological signals, while the exploitation of body postures has scarcely been explored, although they can be useful for emotion detection. This paper first explores a mechanism for self-reporting body postures with a novel easy-to-use mobile application called EmoPose. The app detects emotional states from self-reported poses, classifying them into the six basic emotions proposed by Ekman and a neutral state. The poses identified by Schindler et al. have been used as a reference and the nearest neighbor algorithm used for the classification of poses. Finally, the accuracy in detecting emotions has been assessed by means of poses reported by a sample of users. info:eu-repo/grantAgreement/ES/DGA-FEDER/Construyendo Europa desde Aragón info:eu-repo/grantAgreement/ES/DGA/T25-17D info:eu-repo/grantAgreement/ES/MEC/CAS16-00075 info:eu-repo/grantAgreement/ES/MEC/CAS17-00005 info:eu-repo/grantAgreement/ES/MINECO/TIN2015-67149-C3-1-R info:eu-repo/grantAgreement/ES/UZ/IT24-16 info:eu-repo/grantAgreement/ES/UZ/IT6-15 info:eu-repo/grantAgreement/ES/UZ/JIUZ-2017-TEC-03 info:eu-repo/grantAgreement/ES/UZ/UZ2017-TEC-02 info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 5.452 2019 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 21 / 136 = 0.154 2019 Q1 T1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE 2 / 83 = 0.024 2019 Q1 T1 ENGINEERING, ELECTRICAL & ELECTRONIC 32 / 266 = 0.12 2019 Q1 T1 1.494 2019 Artificial Intelligence 2019 Q1 Engineering (miscellaneous) 2019 Q1 Computer Science Applications 2019 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion (orcid)0000-0003-4424-0770 Cerezo, E. Universidad de Zaragoza (orcid)0000-0001-7550-6688 Plaza, I. Universidad de Zaragoza Chittaro, L. 5008 785 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Tecnología Electrónica 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 122 (2019), 207-216 Expert syst. appl. Expert Systems with Applications 0957-4174 3624497 http://zaguan.unizar.es/record/86503/files/texto_completo.pdf Postprint 198790 http://zaguan.unizar.es/record/86503/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:86503 articulos driver 2020-07-16-09:18:10 ARTICLE