Abstract

The gait motion is fundamental human locomotion that is associated with the human lower limb. Considering the complex structural characteristics of gait, the major challenge is the dynamics model's accuracy and certainty. This paper proposes a method for analyzing human gait in walking. This paper adopted the NoKov optical three-dimensional motion capture system to collect human gait data, built dynamics and kinematics exoskeleton model, and then designed inverse kinematics algorithms. To obtain human gait characteristics, we established a high-precision human lower limb musculoskeletal model in OpenSim, and then imported gait data into the model for kinematics and dynamics simulation. To verify the effectiveness of the proposed method, in this paper, joint angles changes obtained through inverse kinematics analysis of MATLAB are compared with joint angle changes simulated by OpenSim musculoskeletal model.

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