The invention discloses a multi-
modal-based immersive self-adaptive
treadmill rehabilitation training method and
system, and the method comprises the steps: constructing a multi-
modal synchronous
data stream through synchronously collecting real-time posture data, surface electromyogram signals and
treadmill state data of a user; further analyzing the
gait quality,
muscle activation and interaction state of the user in real time, and generating a multi-dimensional
state vector; based on a preset self-adaptive strategy table, the
state vector is compared with an expected threshold value of the current training stage, and a cooperative adjustment instruction aiming at the speed / gradient of the
treadmill, the dynamic characteristics of the virtual scene and
audio feedback is generated through
intelligent decision; finally, closed-loop self-
adaptive control is formed through multi-channel real-time feedback execution, and the training stage is automatically transited when conditions are met. According to the method, deep interaction and self-adaptive linkage of the physical training environment and the virtual immersion scene are realized,
safer and more personalized
rehabilitation training experience rich in sense of participation can be provided, and the accuracy and effect of
rehabilitation training are effectively improved.