This invention discloses a method for identifying the physiological state of adult product users based on multi-sensor
data acquisition, relating to the fields of intelligent health monitoring and
biosignal processing technology. This invention uses non-negative matrix factorization (NMF) technology to decompose multi-channel non-steady-state electromyographic signals collected from the
pelvic floor and core
muscle groups into multiple
muscle coercive elements and their temporal activation coefficients. Each coercive element represents a fixed pattern of
muscle cooperating under neural drive, while the activation coefficient reflects the change of this pattern over time.
Sexual arousal, as a specific neurophysiological process, induces the activation of coercive elements with specific spatiotemporal patterns. By tracking the activation and evolution of specific coercive patterns, the
neural control fingerprint reflecting
sexual arousal is extracted from the original
signal contaminated by motion
noise. This effectively distinguishes between ordinary muscle contractions caused by device use and
physical activity and autonomous neuromuscular activities related to sexual responses, overcoming the defects of susceptibility to interference and insufficient specificity.