The invention belongs to the technical field of
human body posture monitoring, and particularly relates to a
rehabilitation real-time posture
control system and method with temperature feedback, and the method comprises the steps: fixing an
inertial measurement unit on the
waist, collecting motion data in real time, and transmitting the motion data to an upper computer; the upper computer analyzes data through an LSTM neural
network model, and recognizes posture deviation and imbalance trends in combination with a sliding window technology; when abnormity occurs, a feedback mechanism is triggered, the temperature of the Peltier element is adjusted through a
PID control algorithm and a PWM
signal, and a user is reminded to adjust the posture through cold /
thermal stimulation; after adjustment, data are transmitted to an upper computer in real time, and LSTM
model parameters are dynamically updated to form closed-
loop control. The technical problems that an existing
balance training device is insufficient in prediction precision, delayed in feedback response and lack of dynamic feedback are solved, the prediction precision of the
balance training device is improved, the feedback
response delay is reduced, the
balance training device has the advantages of being high in precision, low in
delay and easy to operate, and real-time posture monitoring and personalized training feedback are facilitated.