Variability and Similarity of Gait as Evaluated by Joint Angles: Implications for Forensic Gait Analysis

Sylvia X M Yang; Peter Kastmand Larsen; Tine Alkjær; Erik B Simonsen; Niels Lynnerup

doi:10.1111/1556-4029.12322

Variability and Similarity of Gait as Evaluated by Joint Angles: Implications for Forensic Gait Analysis

Sylvia X M Yang, Peter Kastmand Larsen, Tine Alkjær, Erik B Simonsen, Niels Lynnerup

17 Citations (Scopus)

Abstract

Closed-circuit television (CCTV) footage is used in criminal investigations to compare perpetrators with suspects. Usually, incomplete gait cycles are collected, making evidential gait analysis challenging. This study aimed to analyze the discriminatory power of joint angles throughout a gait cycle. Six sets from 12 men were collected. For each man, a variability range VR (mean ± 1SD) of a specific joint angle at a specific time point (a gait cycle was 100 time points) was calculated. In turn, each individual was compared with the 11 others, and whenever 1 of these 11 had a value within this individual’s VR, it counted as positive. By adding the positives throughout the gait cycle, we created simple bar graphs; tall bars indicated a small discriminatory power, short bars indicated a larger one. The highest discriminatory power was at time points 60–80 in the gait cycle. We show how our data can assess gait data from an actual case.

Original language	English
Journal	Journal of Forensic Sciences
Volume	59
Issue number	2
Pages (from-to)	494-504
Number of pages	11
ISSN	0022-1198
DOIs	https://doi.org/10.1111/1556-4029.12322
Publication status	Published - Mar 2014

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title = "Variability and Similarity of Gait as Evaluated by Joint Angles: Implications for Forensic Gait Analysis",

abstract = "Closed-circuit television (CCTV) footage is used in criminal investigations to compare perpetrators with suspects. Usually, incomplete gait cycles are collected, making evidential gait analysis challenging. This study aimed to analyze the discriminatory power of joint angles throughout a gait cycle. Six sets from 12 men were collected. For each man, a variability range VR (mean ± 1SD) of a specific joint angle at a specific time point (a gait cycle was 100 time points) was calculated. In turn, each individual was compared with the 11 others, and whenever 1 of these 11 had a value within this individual{\textquoteright}s VR, it counted as positive. By adding the positives throughout the gait cycle, we created simple bar graphs; tall bars indicated a small discriminatory power, short bars indicated a larger one. The highest discriminatory power was at time points 60–80 in the gait cycle. We show how our data can assess gait data from an actual case.",

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T1 - Variability and Similarity of Gait as Evaluated by Joint Angles

T2 - Implications for Forensic Gait Analysis

AU - Yang, Sylvia X M

AU - Larsen, Peter Kastmand

AU - Alkjær, Tine

AU - Simonsen, Erik B

AU - Lynnerup, Niels

PY - 2014/3

Y1 - 2014/3

N2 - Closed-circuit television (CCTV) footage is used in criminal investigations to compare perpetrators with suspects. Usually, incomplete gait cycles are collected, making evidential gait analysis challenging. This study aimed to analyze the discriminatory power of joint angles throughout a gait cycle. Six sets from 12 men were collected. For each man, a variability range VR (mean ± 1SD) of a specific joint angle at a specific time point (a gait cycle was 100 time points) was calculated. In turn, each individual was compared with the 11 others, and whenever 1 of these 11 had a value within this individual’s VR, it counted as positive. By adding the positives throughout the gait cycle, we created simple bar graphs; tall bars indicated a small discriminatory power, short bars indicated a larger one. The highest discriminatory power was at time points 60–80 in the gait cycle. We show how our data can assess gait data from an actual case.

AB - Closed-circuit television (CCTV) footage is used in criminal investigations to compare perpetrators with suspects. Usually, incomplete gait cycles are collected, making evidential gait analysis challenging. This study aimed to analyze the discriminatory power of joint angles throughout a gait cycle. Six sets from 12 men were collected. For each man, a variability range VR (mean ± 1SD) of a specific joint angle at a specific time point (a gait cycle was 100 time points) was calculated. In turn, each individual was compared with the 11 others, and whenever 1 of these 11 had a value within this individual’s VR, it counted as positive. By adding the positives throughout the gait cycle, we created simple bar graphs; tall bars indicated a small discriminatory power, short bars indicated a larger one. The highest discriminatory power was at time points 60–80 in the gait cycle. We show how our data can assess gait data from an actual case.

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JO - Journal of Forensic Sciences

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Variability and Similarity of Gait as Evaluated by Joint Angles: Implications for Forensic Gait Analysis

Abstract

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