Abstract
High-cost and physical-limitations limit the use of Electroencephalogram sensing (EEG) with respect to Affective Computing. Wrist-worn Wearable health devices, an intriguing alternative, are becoming cheap, inconspicuous, and common-place - driving down the cost of heart-rate, accelerometer, respiration, and similar sensing. In this paper, we describe a quantitative empirical study investigating the use of low-cost sensing as a replacement for EEG. Our results show significant correlation between wrist-sensed, low-cost physiological data features and established EEG measures of emotion and cognition. This work demonstrates the value of inexpensive sensors capable of inferring emotion and cognition in a wrist-worn form-factor.