The invention relates to a seat self-adaptive adjusting
system and method based on multi-
modal biological data, and the
system comprises a multi-
modal data collection module, a
data processing and fusion module, a control decision module, and an execution mechanism. Physiological and posture information of a user is collected through a
heart rate sensor, a myoelectricity sensor, a
skin temperature sensor, a pressure distribution sensor, a three-dimensional posture sensor and other multi-mode sensors, a fatigue index and a posture deviation amount are calculated through
feature extraction, normalization and weighted fusion, and the fatigue index and the posture deviation amount are compared with preset threshold values. The control decision module generates adjusting instructions of the backrest angle, the
waist support height, the
cushion inclination angle and the
temperature control power based on fuzzy control and a prediction
algorithm, and self-adaptive adjustment of the seat is completed through an execution mechanism. The method can achieve the precise recognition and active intervention of the fatigue and posture change of the user, is suitable for various scenes such as driving, working and
rehabilitation, can remarkably improve the comfort, delays the
muscle fatigue, and improves the posture health.