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  4. Vol 3, Issue 2, 2021

Intelligent Prosthetic Knee and Ankle Coordination Control System Based on Virtual Reality

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DOI: 10.23977/jsoce.2021.030209 | Downloads: 22 | Views: 1082

Author(s)

Gongxing Yan 1

Affiliation(s)

1 College of architectural engineering, Luzhou Vocational and Technical College, Luzhou 646000, Sichuan, China

Corresponding Author

Gongxing Yan

ABSTRACT

With the development of science and technology, intelligent prosthesis has gradually become the focus of research in the prosthesis industry. Its main feature is that it can automatically adjust the parameters of stride and pace according to the changes of external environment. However, it can't change with the change of step frequency and knee joint angle. Based on the above background, the purpose of this study is to research and design the knee ankle coordination control system of intelligent prosthesis based on virtual reality. In this study, the modular design method is used to build virtual scene and supporting equipment. Then, by analyzing the gait characteristics of normal people, the structure of knee joint and ankle joint of prosthesis and the working principle of control cylinder are introduced, and the control strategy under asynchronous speed is established. At the same time, the manual control debugging system and the upper computer debugging mode are combined to verify the human walking gait in the way of clinical simulation and realize the coordinated control of the knee and ankle. The results showed that the healthy limbs of amputees were 63.698% in fast speed, 66.104% in medium speed and 66.104% in slow speed, which were slightly longer than those of normal people; the prostheses were 60.114% in fast speed, 61.237% in medium speed and 61.676% in slow speed, which were not significantly different from those of normal people.

KEYWORDS

Intelligent Prosthesis, Virtual Reality, Gait Recognition, Knee Ankle Coordination Controller

CITE THIS PAPER

Gongxing Yan. Intelligent Prosthetic Knee and Ankle Coordination Control System Based on Virtual Reality. Journal of Sociology and Ethnology (2021) 3: 47-63. DOI: http://dx.doi.org/10.23977/jsoce.2021.030209.

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