International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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Comparison Gait Analysis of Normal and Amputee: Filtering Graph Data Based on Joint Angle

  • Junhyung Kim (Department of Smart System, Kwangwoon University) ;
  • Seunghyun Lee (Ingenium College Liberal Arts, Kwangwoon University) ;
  • Soonchul Kwon (Graduate School of Smart Convergence, Kwangwoon University)
  • Received : 2023.07.02
  • Accepted : 2023.07.13
  • Published : 2023.09.30
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Abstract

Gait analysis plays a key role in the research field of exploring and understanding human movement. By quantitatively analyzing the complexity of human movement and the various factors that influence it, it is possible to identify individual gait characteristics and abnormalities. This is especially true for people with walking difficulties or special circumstances, such as amputee, for example. This is because it can help us understand their gait characteristics and provide individualized rehabilitation plans. In this paper, we compare and analyze the differences in ankle joint motion and angles between normal and amputee. In particular, a filtering process was applied to the ankle joint angle data to obtain high accuracy results. The results of this study can contribute to a more accurate understanding and improvement of the gait patterns of normal and amputee.

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Acknowledgement

The present research has been conducted by the excellent researcher support project of Kwangwoon University in 2023. And, This research is supported by the Ministry of Culture, Sports and Tourism and Korea Creative Content Agency(Project Number: R2021040083)

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