Abstract: A mobile computing device for measuring somatic response of a user to stimulus includes motion sensors, a volatile memory, and a processor for: executing a baseline calibration process including receiving first and second supervised data from the user, and first and second sensor data from the motion sensors, while the user performs a triple whip gesture, calculating signal strength of the first and second sensor data using a k-means clustering algorithm, and executing a classification process including reading third unsupervised data from the user and third sensor data from the motion sensors while the user performs the triple whip gesture.

Abstract: A mobile computing device for measuring somatic response of a user to stimulus includes motion sensors, a volatile memory, and a processor for: executing a baseline calibration process including receiving first and second supervised data from the user, and first and second sensor data from the motion sensors, while the user performs a triple whip gesture, calculating signal strength of the first and second sensor data using a k-means clustering algorithm, and executing a classification process including reading third unsupervised data from the user and third sensor data from the motion sensors while the user performs the triple whip gesture.