Identification of the Visually Prominent Gait Parameters for Forensic Gait Analysis

Lee, Daewook; Soon, Jiman; Choi, Gyuri; Kim, Kijoon; Bahn, Sangwoo

doi:10.3390/ijerph19042467

Cited by 2 publications

(3 citation statements)

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“…To this end, gait parameters that were visually prominent, and which could distinguish individuals, were selected. Each parameter was selected from a comprehensive selection of previous gait studies using visually distinct variables [9][10][11][12][13][14]. Tables 3 and 4 show the detailed definition and derivation method of each parameter.…”

Section: Gait Parametersmentioning

confidence: 99%

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Identification of Gait and Personal Factors Associated with Shoe Abrasion Patterns

Soon

Lee

Choi

et al. 2022

IJERPH

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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.

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Section: Gait Parametersmentioning

confidence: 99%

“…Table 3. Definition and derivation method of gait parameters of the lower body (Adapted from Lee et al 2022 [14], Ergonomic Society of Korea, 2016 [15]).…”

Section: Gait Parametersmentioning

confidence: 99%

Identification of Gait and Personal Factors Associated with Shoe Abrasion Patterns

Soon

Lee

Choi

et al. 2022

IJERPH

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“…The camera-based gait analysis requires at least four infrared cameras to be installed [13]. In orthopedic or rehabilitation hospitals, gait analysis is sometimes performed on a treadmill.…”

Section: Introductionmentioning

confidence: 99%

Feature-Based Gait Pattern Modeling on a Treadmill

Shin,

Kim,

Han

et al. 2023

Electronics

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In this paper, we present a method of gait analysis on a treadmill based on pressure distribution. We aimed to model the gait patterns of a subject walking at a constant speed on a treadmill based on differences in current consumption. The changes in current consumption were converted into pressure distribution curves, and then specific features were extracted. The extracted features were used to model the walking pattern on a treadmill. To verify the validity of our proposed feature-based gait pattern modeling, we conducted experiments by gender, age, BMI (body mass index), and step-to-step symmetry. The experimental results showed that the heavier the subject, the higher the value of each feature. In particular, our feature point-based gait modeling provides an index that can help determine whether a subject’s gait is abnormal, depending on the difference between the features.

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Identification of the Visually Prominent Gait Parameters for Forensic Gait Analysis

Cited by 2 publications

References 25 publications

Identification of Gait and Personal Factors Associated with Shoe Abrasion Patterns

Identification of Gait and Personal Factors Associated with Shoe Abrasion Patterns

Feature-Based Gait Pattern Modeling on a Treadmill

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