Simulation Analysis and Study of Gait Stability Related to Motion Joints

• Published in: BioMed research international Vol. 2022; no. 1; p. 8417089
• Main Authors: Lei, Yuanyuan, Yang, Fang
• Format: Journal Article
• Language: English
• Published: United States Hindawi 2022; John Wiley & Sons, Inc
• Subjects: Artificial Intelligence; Biomechanical Phenomena; Biomechanics; Biomedical research; Cerebral palsy; Electromyography; Falls; Gait; Gait Disorders, Neurologic - rehabilitation; Human body; Human mechanics; Human motion; Humans; Joints; Lower Extremity; Metal fatigue; Motion capture; Motion stability; Object recognition; Older people; Physiological aspects; Physiological research; R&D; Rehabilitation; Research & development; Simulation; Simulation analysis; Stability analysis; Technology; Three dimensional motion; Variance analysis; China
• ISSN: 2314-6133; 2314-6141; 2314-6141
• DOI: 10.1155/2022/8417089

Gait stability in exercise is an inevitable and vexing problem in mechanics, artificial intelligence, sports, and rehabilitation medicine research. With the rapid development and popularization of science and technology, it becomes a reality for researchers to obtain large-scale human motion data sets in real time with higher efficiency. However, at present, the analysis of gait stability of moving joints is still based on image recognition technology, which is ten times less accurate and inefficient. In this paper, Vicon 3D motion capture system, dynamometer, and surface electromyography system were used to obtain the parameters of the lower limbs of the subjects. Using Anywhere modeling and simulation system, simulation experiments were carried out, and the reaction force data of lower limb joints under two environments were obtained. The gait characteristics of human gait were analyzed from the angle of internal and external adjustment mechanism. Combining one-way ANOVA and incremental occupancy rate, the adjustment process of gait stability is described comprehensively. The findings of this study can provide a theoretical basis for the research of lower limb con-assistive devices and can guide the design and development of bipedal anthropomorphic robots.