Gait monitoring using a 3D printed smart insole embedded with embedded optical fibre Bragg gratings is reported in this paper. The smart insole combines 3D printing technology and fiber Bragg gratings (FBGs) sensors providing high sensitivity and end-point low cost. Results using pressure points measured by four FBGs are sufficient to differentiate foot loads and gait types.

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How to improve target tracking efficiency, how to track targets with different motion forms, and establish target motion models are the main research directions. This paper expounds a motion control algorithm based on the prediction model. By establishing the motion equation and prediction model of the target, setting the estimated parameters, optimizing the initial value setting, and predicting the motion state of the target, the simulation analysis based on MATLAB is completed. The simulation results show that the motion control algorithm based on the prediction model has good robustness and real-time performance, realizes the feedback control closed-loop of “prediction-error-correction-prediction”, and can effectively reduce the real-time calculation amount of target tracking. Good target tracking accuracy.