Identification of Gait and Personal Factors Associated with Shoe Abrasion Patterns

Jiman Soon, Dae Wook Lee, Gyu Ri Choi, Ki Joon Kim and Sangwoo Bahn ()
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Jiman Soon: Industrial and Management Systems Engineering, College of Engineering, Kyung Hee University, Yongin 17104, Korea
Dae Wook Lee: Department of Biomedical Engineering, College of Electronics & Information, Kyung Hee University, Yongin 17104, Korea
Gyu Ri Choi: Industrial and Management Systems Engineering, College of Engineering, Kyung Hee University, Yongin 17104, Korea
Ki Joon Kim: Industrial and Management Systems Engineering, College of Engineering, Kyung Hee University, Yongin 17104, Korea
Sangwoo Bahn: Industrial and Management Systems Engineering, College of Engineering, Kyung Hee University, Yongin 17104, Korea

IJERPH, 2022, vol. 19, issue 19, 1-13

Abstract: Shoe abrasion data can be used as major evidence to distinguish suspects, but their actual application in the field is limited due to a lack of associated empirical studies. This study analyzed the significant factors of shoe abrasion by identifying significant differences between gait, personal characteristics, and shoe abrasion patterns. Experiments were conducted on 291 Korean subjects, and data were analyzed using cluster analysis and cross-tabulation analysis with data collected to identify significant factors. As a result, overall, medial abrasion was very rare and would be useful for human identification. The greater the gait characteristics of the knee valgus, the greater the inner abrasion characteristics shown. In the case of knee varus, outer abrasion characteristics occurred more often. Additionally, in the double support phase while walking, the greater the tilt to the left or right, the more the outer parts of the shoes tend to wear out. Men have the characteristic of wearing out the outer side of their shoes more compared to women. Regarding human body dimensions, there were significant differences between the abrasion patterns of the shoes with some body dimensions. The results of this study could be used effectively in the identification of suspects using shoe abrasion patterns.

Keywords: gait; gait pattern; shoe abrasion; walking; body dimension (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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