title: [A study of gait recognition based on kinematics and kinetics parameters].
abstract: In order to recognize people by their gait, we propose a pattern recognizing method based on kinematics and kinetics parameters. The feature extraction methods of joint angle and vertical ground reaction force (VGRF) were given. 14 healthy male subjects participated in this experiment. The experimental results showed that the correct classification rates (CCR) was 87.1% at k = 1 and 90% at k = 3 (k-nearest neighbor) based on joint angle recognition; the CCR was 85.7% at k = 1 and 80% at k = 3 based on VGRF recognition. The multivariate analysis of the experimental data proved the feasibility of gait recognition. The principal component analysis and curves of VGRF also showed that the instant of foot strike plays an important role in gait recognition.
authors.affiliation: Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China.
authors.forename: Zhongwu
authors.initials: Z
authors.lastname: Guo
authors.forename: Haishu
authors.initials: H
authors.lastname: Ding
authors.forename: Guangzhi
authors.initials: G
authors.lastname: Wang
authors.forename: Hui
authors.initials: H
authors.lastname: Ding
mesh_terms: D000328:Adult; D001696:Biomechanical Phenomena; D005684:Gait / Q000502:physiology*; D006801:Humans; D007700:Kinetics; D008297:Male; D010363:Pattern Recognition, Automated