Artikel ; Online: Simulation Analysis and Study of Gait Stability Related to Motion Joints.
2022 Band 2022, Seite(n) 8417089
Abstract: 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 ... ...
Abstract | 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. |
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Mesh-Begriff(e) | Artificial Intelligence ; Biomechanical Phenomena ; Gait ; Gait Disorders, Neurologic/rehabilitation ; Humans ; Lower Extremity |
Sprache | Englisch |
Erscheinungsdatum | 2022-07-29 |
Erscheinungsland | United States |
Dokumenttyp | Journal Article ; Retracted Publication |
ZDB-ID | 2698540-8 |
ISSN | 2314-6141 ; 2314-6133 |
ISSN (online) | 2314-6141 |
ISSN | 2314-6133 |
DOI | 10.1155/2022/8417089 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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