The aim of this work is to develop a real-time system able to classify and passively reduce stress. Heart Rate (HR) and Skin Conductance Response (SCR) are used for stress classification. Entrainment phenomenon is exploited as a possible way to reduce stress via an auditory stimulus. A Support Vector Machine (SVM) produces 84% of stress classification accuracy and a slight effect is obtained for stress reduction.
Psychophysiological Stress Control via Heart Rate Entrainment / Cuijpers, R. H.; Van Dijk, E. T. K.; Longhi, S.; Marchegiani, Enrico; Monteriù, A.. - ELETTRONICO. - (2019), pp. 9-10. (Intervento presentato al convegno 2019 Zooming Innovation in Consumer Technologies Conference, ZINC 2019 tenutosi a srb nel 2019) [10.1109/ZINC.2019.8769370].
Psychophysiological Stress Control via Heart Rate Entrainment
Longhi S.;MARCHEGIANI, ENRICO;Monteriù A.
2019-01-01
Abstract
The aim of this work is to develop a real-time system able to classify and passively reduce stress. Heart Rate (HR) and Skin Conductance Response (SCR) are used for stress classification. Entrainment phenomenon is exploited as a possible way to reduce stress via an auditory stimulus. A Support Vector Machine (SVM) produces 84% of stress classification accuracy and a slight effect is obtained for stress reduction.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
