Intelligent emotions stabilization system using standardized images, breath sensor and biofeedback - new concept

This paper addresses the problem of designing closed-loop control of emotion based on affective measures and computing. The work is focused on design rule base control system that serves for positive emotion state stabilization. The proposed approach is based on analyzing of breathing signal. The measured signal is analyzed according to features important for emotional changes. Knowing emotional state of person and desired level of affect should allow to modify it through knowledge base engine. Closed-loop control system is a fuzzy rule base that is designed on fuzzy model of breathing time series and data base of affective images. Proposed system may constitute basis for the whole family of new tools. All results are illustrated with examples.