COMPLEXITY-BASED ANALYSIS OF THE CORRELATION BETWEEN SKIN AND FACIAL MUSCLE REACTIONS IN RESPONSE TO AUDITORY STIMULI

This paper explores the interrelationship between skin conductance and facial muscle activities in response to auditory stimuli of varying complexity, using nonlinear dynamic analysis. Galvanic skin response (GSR) and surface electromyography (EMG) signals were recorded from participants during rest and while exposed to multiple musical segments with increasing structural complexity. To quantify the dynamic characteristics of the physiological responses, we employed fractal dimension, sample entropy, and approximate entropy. The results revealed a consistent increase in the complexity of both GSR and EMG signals in parallel with the increasing complexity of the auditory input. Moreover, strong correlations between the complexity metrics of GSR and EMG were observed, indicating synchronized autonomic and somatic responses to auditory stimuli. These findings underscore the potential of complexity-based approaches for capturing integrated emotional and physiological states, offering implications for affective computing, emotion research, and psychophysiological monitoring.