The invention relates to the technical field of
rehabilitation medical treatment and human-computer interaction, and discloses a
rehabilitation method for
senile osteoporosis with
cognitive impairment based on
augmented reality. The method comprises the steps that movement and physiological data of a patient are collected, a synchronous calibration
signal is obtained through a fusion
algorithm and Kalman filtering, and a virtual and real environment deviation value is determined in combination with the
rehabilitation progress and pain feedback; optimizing
response parameters and real-time force feedback parameters of the virtual scene through an adaptive adjustment mechanism, and extracting dynamic demand characteristics of the patient; fusing the dynamic demand features, audiovisual, tactile and interaction
delay data through a
convolutional neural network to obtain a virtual-real interaction feedback sequence; and generating virtual scene update data and an auxiliary device supporting force
simulation value based on the sequence, and synthesizing a
rehabilitation training output
signal. According to individual requirements of patients, accurate virtual environments and
interactive feedback are provided, dynamic accurate matching of virtual and real environments and real-time
adaptation of multi-
modal feedback in
rehabilitation training are achieved, and the immersion feeling and rehabilitation effect of training are improved.