Estimating actual foot size from a static bare foot print in a White British Population

Michael John Curran, Jacqueline Ann Campbell, laura Gillespie, Sarah Melville, Bryan Kagan

Research output: Contribution to journalArticle

Abstract

In forensic intelligence-gathering it would be useful to be able to estimate the size of a perpetrator's foot from a standing bare footprint found at the scene of crime. Currently, the advice is to add a fixed amount to the length of the footprint (typically 1.5 or 2.0 cm), but there is little evidence for this approach. This study used measured footprint and actual foot lengths from 146 participants from the white British student population of a University in the UK. Data were analysed using multiple regression with foot length as the dependent (outcome) variable and footprint length and sex as the independent variable/factor respectively. Sex was not a significant predictor. The regression equation for the best estimate of the foot length is 19.89 + 0.95 × print length ± 8 mm.
Original languageEnglish
Pages (from-to)317-321
Number of pages5
JournalScience & Justice
Volume59
Early online date21 Jan 2019
DOIs
Publication statusE-pub ahead of print - 21 Jan 2019

Fingerprint

regression
intelligence
offense
evidence
student

Keywords

  • Footprint, size, estimate, static, inked, length

Cite this

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abstract = "In forensic intelligence-gathering it would be useful to be able to estimate the size of a perpetrator's foot from a standing bare footprint found at the scene of crime. Currently, the advice is to add a fixed amount to the length of the footprint (typically 1.5 or 2.0 cm), but there is little evidence for this approach. This study used measured footprint and actual foot lengths from 146 participants from the white British student population of a University in the UK. Data were analysed using multiple regression with foot length as the dependent (outcome) variable and footprint length and sex as the independent variable/factor respectively. Sex was not a significant predictor. The regression equation for the best estimate of the foot length is 19.89 + 0.95 × print length ± 8 mm.",
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Estimating actual foot size from a static bare foot print in a White British Population. / Curran, Michael John; Campbell, Jacqueline Ann; Gillespie, laura; Melville, Sarah; Kagan, Bryan.

In: Science & Justice, Vol. 59, 21.01.2019, p. 317-321.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Estimating actual foot size from a static bare foot print in a White British Population

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AU - Campbell, Jacqueline Ann

AU - Gillespie, laura

AU - Melville, Sarah

AU - Kagan, Bryan

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