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학술대회자료
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제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2020
발행연도
2020.10
수록면
258 - 261 (4page)

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Gait is an important human motion that is essential for performing various daily activities. Thus, gait analysis provides valuable information on the functional ability of human. However, gait is a complex motion with lots of measurements to consider during analysis. This study aims to derive latent and compound gait features of healthy subjects in temporal and spatial aspects. Force plates are used to measure ground reaction forces and moments of healthy subjects in medial-lateral, anterior-posterior, and vertical direction during stance phase. Principal component analysis (PCA), which is a method of dimension reduction, was applied to the force plate measurements to extract latent features of gait. The compound temporal and spatial gait features, which synthesize the force plate measurements, are derived from principal component analysis and their meanings are discussed using the shapes of the features. Also, the implications of principal components on gait are discussed through the comparison between the principal components and the previous studies on the force plate measurements of gait. Extraction of latent and compound gait features of healthy subjects will provide further understanding of human gait and gait analysis methods.

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Abstract
1. INTRODUCTION
2. METHOD
3. RESULTS
4. DISCUSSION
5. CONCLUSION
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UCI(KEPA) : I410-ECN-0101-2020-003-001570635