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논문검색

Human-Machine Interaction Technology (HIT)

Comparison Gait Analysis of Normal and Amputee : Filtering Graph Data Based on Joint Angle

초록

영어

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.

목차

Abstract
1. Introduction
2. Background Theory
2.1. Degrees of Gait cycle
2.2 Data Collection Using MediaPipe
2.3 Data Filtering
3. Experimental
3.1 Analysis of Joint Angle Data
3.2 Comparison of Gait Patterns between Amputee and Normal
4. Conclusion
Acknowledgement
References

저자정보

  • Junhyung Kim Department of Smart System, Kwangwoon University, South Korea
  • Seunghyun Lee Ingenium College Liberal Arts, Kwangwoon University, South Korea
  • Soonchul Kwon Graduate School of Smart Convergence, Kwangwoon University, South Korea

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