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
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.File in questo prodotto:
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