Abstract: A system and method for unobtrusively detecting a subject's level of interest in media content, includes detecting to what a subject is attending, measuring a subject's relative arousal level; and combining information regarding the subject's arousal level and attention to infer a level of interest.

Abstract: A method and system for correlating physiological attributes including heart rate, temperature, general somatic activity (GSA), and galvanic skin response (GSR) to N emotions of a user of a computer input device, such as a mouse. Sensors are in the mouse to sense the physiological attributes, which are correlated to emotions using a correlation model. The correlation model is derived from a calibration process in which a baseline attribute-to-emotion correlation is rendered based on statistical analysis of calibration signals generated by users having emotions that are measured or otherwise known at calibration time. A vector in N dimensions, representative of a subject user's emotions, is output for subsequent subject users whose emotions are sought to be known, with the baseline being the reference in the N-dimensional space of the vector.