Emotional state and cognitive load analysis using features from BVP and SC sensors

In this paper, our goal is to map the physiological signal features obtained from Blood Volume Pulse (BVP) and Skin Conductance (SC) sensors to each subject's emotional state and cognitive load. The physiological signals are collected under tests (Stroop test, Math test, and a negative event recall test)targeting different levels of emotional state and cognitive load. For emotional state and cognitive load analysis, we use the SC and BVP features as skin conductance response (SCR), hears rate (HR), and spectral power in the low frequency (LF) band of the heart rate variability (HRV) spectrum. Our results show that HR and SCR are indicative features for determining the emotional state, and LF and SCR are indicative features for determining the cognitive load.