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Exploring the relationship between stride, stature and hand size for forensic assessment

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Exploring the relationship between stride, stature and hand size for forensic assessment. / Guest, Richard M.; Miguel-Hurtado, Oscar; Stevenage, Sarah et al.
In: Journal of Forensic and Legal Medicine, Vol. 52, 01.11.2017, p. 46-55.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Guest, RM, Miguel-Hurtado, O, Stevenage, S & Black, S 2017, 'Exploring the relationship between stride, stature and hand size for forensic assessment', Journal of Forensic and Legal Medicine, vol. 52, pp. 46-55. https://doi.org/10.1016/j.jflm.2017.08.006

APA

Guest, R. M., Miguel-Hurtado, O., Stevenage, S., & Black, S. (2017). Exploring the relationship between stride, stature and hand size for forensic assessment. Journal of Forensic and Legal Medicine, 52, 46-55. https://doi.org/10.1016/j.jflm.2017.08.006

Vancouver

Guest RM, Miguel-Hurtado O, Stevenage S, Black S. Exploring the relationship between stride, stature and hand size for forensic assessment. Journal of Forensic and Legal Medicine. 2017 Nov 1;52:46-55. Epub 2017 Aug 26. doi: 10.1016/j.jflm.2017.08.006

Author

Guest, Richard M. ; Miguel-Hurtado, Oscar ; Stevenage, Sarah et al. / Exploring the relationship between stride, stature and hand size for forensic assessment. In: Journal of Forensic and Legal Medicine. 2017 ; Vol. 52. pp. 46-55.

Bibtex

@article{470e1f39b29b43e0b2f9721fafca8f44,
title = "Exploring the relationship between stride, stature and hand size for forensic assessment",
abstract = "Forensic evidence often relies on a combination of accurately recorded measurements, estimated measurements from landmark data such as a subject's stature given a known measurement within an image, and inferred data. In this study a novel dataset is used to explore linkages between hand measurements, stature, leg length and stride. These three measurements replicate the type of evidence found in surveillance videos with stride being extracted from an automated gait analysis system. Through correlations and regression modelling, it is possible to generate accurate predictions of stature from hand size, leg length and stride length (and vice versa), and to predict leg and stride length from hand size with, or without, stature as an intermediary variable. The study also shows improved accuracy when a subject's sex is known a-priori. Our method and models indicate the possibility of calculating or checking relationships between a suspect's physical measurements, particularly when only one component is captured as an accurately recorded measurement.",
author = "Guest, {Richard M.} and Oscar Miguel-Hurtado and Sarah Stevenage and Sue Black",
note = "The authors gratefully acknowledge the support of the UK Engineering and Physical Sciences Research Council in the production of this work funded as part of EPSRC EP/J004995/1.",
year = "2017",
month = nov,
day = "1",
doi = "10.1016/j.jflm.2017.08.006",
language = "English",
volume = "52",
pages = "46--55",
journal = "Journal of Forensic and Legal Medicine",
issn = "1752-928X",
publisher = "Churchill Livingstone",

}

RIS

TY - JOUR

T1 - Exploring the relationship between stride, stature and hand size for forensic assessment

AU - Guest, Richard M.

AU - Miguel-Hurtado, Oscar

AU - Stevenage, Sarah

AU - Black, Sue

N1 - The authors gratefully acknowledge the support of the UK Engineering and Physical Sciences Research Council in the production of this work funded as part of EPSRC EP/J004995/1.

PY - 2017/11/1

Y1 - 2017/11/1

N2 - Forensic evidence often relies on a combination of accurately recorded measurements, estimated measurements from landmark data such as a subject's stature given a known measurement within an image, and inferred data. In this study a novel dataset is used to explore linkages between hand measurements, stature, leg length and stride. These three measurements replicate the type of evidence found in surveillance videos with stride being extracted from an automated gait analysis system. Through correlations and regression modelling, it is possible to generate accurate predictions of stature from hand size, leg length and stride length (and vice versa), and to predict leg and stride length from hand size with, or without, stature as an intermediary variable. The study also shows improved accuracy when a subject's sex is known a-priori. Our method and models indicate the possibility of calculating or checking relationships between a suspect's physical measurements, particularly when only one component is captured as an accurately recorded measurement.

AB - Forensic evidence often relies on a combination of accurately recorded measurements, estimated measurements from landmark data such as a subject's stature given a known measurement within an image, and inferred data. In this study a novel dataset is used to explore linkages between hand measurements, stature, leg length and stride. These three measurements replicate the type of evidence found in surveillance videos with stride being extracted from an automated gait analysis system. Through correlations and regression modelling, it is possible to generate accurate predictions of stature from hand size, leg length and stride length (and vice versa), and to predict leg and stride length from hand size with, or without, stature as an intermediary variable. The study also shows improved accuracy when a subject's sex is known a-priori. Our method and models indicate the possibility of calculating or checking relationships between a suspect's physical measurements, particularly when only one component is captured as an accurately recorded measurement.

U2 - 10.1016/j.jflm.2017.08.006

DO - 10.1016/j.jflm.2017.08.006

M3 - Journal article

VL - 52

SP - 46

EP - 55

JO - Journal of Forensic and Legal Medicine

JF - Journal of Forensic and Legal Medicine

SN - 1752-928X

ER -