Patent ID: 8527213

Claim:
A method for detecting a subject's stress level associated with an activity, comprising: connecting the subject to a sensor that senses a value of a biometric; during the activity, repeatedly sensing the value of the biometric over each of a plurality of time windows; computing, for each time window, a difference between each sensed biometric value in the time window and an ambient value to determine a maximum difference for the time window and a minimum difference for the time window; computing, for each time window, a deviation, for the sensed biometric values in the time window by subtracting the time window's minimum difference from the time window's maximum difference; and detecting the stress level based on the computed deviations for the time windows, wherein detecting the stress level further comprises inferring a stress state transition from time window to time window based on a temporal Bayesian Network (TBN) model and corresponding computed deviations.