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Syst."],"published-print":{"date-parts":[[2020,7]]},"abstract":"<jats:p> Early detection of stress condition is beneficial to prevent long-term mental illness like depression and anxiety. This paper introduces an accurate identification of stress\/calm condition from electrodermal activity (EDA) signals. The acquisition of EDA signals from a commercial wearable as well as their storage and processing are presented. Several time-domain, frequency-domain and morphological features are extracted over the skin conductance response of the EDA signals. Afterwards, a classification is undergone by using several classical support vector machines (SVMs) and deep support vector machines (D-SVMs). In addition, several binary classifiers are also compared with SVMs in the stress\/calm identification task. Moreover, a series of video clips evoking calm and stress conditions have been viewed by 147 volunteers in order to validate the classification results. The highest F1-score obtained for SVMs and D-SVMs are 83% and 92%, respectively. These results demonstrate that not only classical SVMs are appropriate for classification of biomarker signals, but D-SVMs are very competitive in comparison to other classification techniques. In addition, the results have enabled drawing useful considerations for the future use of SVMs and D-SVMs in the specific case of stress\/calm identification. <\/jats:p>","DOI":"10.1142\/s0129065720500318","type":"journal-article","created":{"date-parts":[[2020,6,6]],"date-time":"2020-06-06T12:50:46Z","timestamp":1591447846000},"page":"2050031","source":"Crossref","is-referenced-by-count":43,"title":["Deep Support Vector Machines for the Identification of Stress Condition from Electrodermal Activity"],"prefix":"10.1142","volume":"30","author":[{"given":"Roberto","family":"S\u00e1nchez-Reolid","sequence":"first","affiliation":[{"name":"Departamento de Sistemas Inform\u00e1ticos, Universidad de Castilla-La Mancha, 02071 Albacete Spain"},{"name":"Instituto de Investigaci\u00f3n en Inform\u00e1tica de Albacete, 02071 Albacete, 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