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Author/Affiliation: Alessandro PirasOpen AccessArticle
8 Pages, 3,318 KB 
Supervised Learning Techniques for Stress Detection in Car Drivers
Abstract:
In this paper we propose the application of supervised learning techniques to recognize stress situations in drivers by analyzing their Skin Potential Response (SPR) and the Electrocardiogram (ECG). A sensing device is used to acquire the SPR from both hands of the drivers, and the ECG from their chest. We also consider a motion artifact…
Read More(This article belongs to the SP9 (Special Issue on Multidisciplinary Innovation in Engineering Science & Technology 2020) & Section Bioinformatics (BIF))