The invention provides a
Leap Motion-based finger
rehabilitation error
correction method. The method comprises the steps that 1, the normal hand of a patient is subjected to behavior prediction, LeapMotion performs data collection on two-
hand movements, and data is displayed in real time through an upper computer; 2, the computer compares the data of the two-
hand movements; 3, if errors are within an effective range, a quantized value of complete action of hands of a patient is output, if the errors are not within the effective range, prompt messages are output, and data is corrected throughan
algorithm; 4, the corrected data is transmitted to
lesion side fingers, the steps from first to third continue to be executed, and finally the errors are within the effective range. Accordingly, data of
rehabilitation training for the patient is displayed in real time, the time
delay problem of symmetrical movements of the two hands of the patient is effectively solved, the errors of the movements are reduced, the effect of symmetric
rehabilitation of the two hands of the patient is improved, the
time cost of the patient is lowered, and the activity of the patient for treatment is enhanced.