Stress recognition in a simulated city environment using Skin Potential Response (SPR) signals

In this paper we propose a Machine Learning (ML) classification algorithm, for stress recognition in subjects driving in a simulated city environment. Two Skin Potential Response (SPR) signals, one from each hand, are logged from the subjects and processed to remove possible motion artifacts that could appear in the recordings. This is achieved using a motion artifact removal algorithm that, takin...