Gait symmetry based on principal component analysis method

Taking advantage of PCA reconstruction algorithm, this thesis uses motion data of the left lower limb to reconstruct the motion data of right lower limb. Comparing to the original information of the right lower limb, a conclusion is drawn that the lower limb gait of healthy human is symmetrical. On this basis, for patients with hemiplegia or amputation of lower limb gait information in health has most probably not been recorded, this thesis proposes a average model using healthy people´s average gait information to construct the patient´s and demonstrates the rationality of the model.