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

Guest, Richard, Miguel-Hurtado, Oscar, Stevenage, Sarah, Black, Sue (2017) Exploring the relationship between stride, stature and hand size for forensic assessment. Journal of Forensic and Legal Medicine, 52 . pp. 46-55. ISSN 1752-928X. E-ISSN 1878-7487. (doi:10.1016/j.jflm.2017.08.006) (KAR id:62966)


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.

Item Type: Article
DOI/Identification number: 10.1016/j.jflm.2017.08.006
Uncontrolled keywords: anatomical lengths, forensics
Subjects: Q Science > QA Mathematics (inc Computing science)
R Medicine > RA Public aspects of medicine > RA1001 Forensic medicine. Medical jurisprudence. Legal medicine
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Richard Guest
Date Deposited: 29 Aug 2017 15:52 UTC
Last Modified: 04 Mar 2024 17:11 UTC
Resource URI: (The current URI for this page, for reference purposes)

University of Kent Author Information

Guest, Richard.

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Miguel-Hurtado, Oscar.

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