TL;DR: The footprints can provide a reliable estimate of stature in forensic investigations and a statistically significant sex difference in the footprint length measurements between males and females in both right and left feet is observed.
TL;DR: This study provides a quantitative method that could be used both with partial footprints and in the absence of dermatoglyphics to assist in the identification of an individual in a forensic context.
Abstract: Previous work from the United States has shown close correlation between an individual's size and weight and predetermined measurements taken from his or her footprints. This study investigated the situation in a group of United Kingdom subjects, for which there is at present little data. Walking and standing footprints, fleshed foot measurements and stature were obtained from 105 adult volunteers from the staff and students of the United Medical and Dental Schools of Guy's and St Thomas' Hospitals, London. The footprints were measured using predetermined landmarks and the results analysed to investigate the significance of the parameters in a forensic context. Inter-observer and intra-observer errors were within acceptable limits. Regression equations were calculated for foot length from various parameters measured on a footprint. Topinard's finding that foot length represents between 14.9%-18.1% of stature in a given individual was confirmed. Footprint length showed a normal distribution in both sexes but male footprint length was greater than female footprint length for any given height. This study provides a quantitative method that could be used both with partial footprints and in the absence of dermatoglyphics to assist in the identification of an individual in a forensic context.
TL;DR: Courts should treat gait evidence with caution, as they should any other form of evidence originating from disciplines without fully established codes of practice, error rates, and demonstrable applications in forensic scenarios.
Abstract: Gait is one biological characteristic which has attracted strong research interest due to its potential use in human identification. Although almost two decades have passed since a forensic gait expert has testified to the identity of a perpetrator in court, the methods remain insufficiently robust, considering the recent paradigm shift witnessed in the forensic science community regarding quality of evidence. In contrast, technological advancements have taken the lead, and research into automated gait recognition has greatly surpassed forensic gait analysis in terms of the size of acquired datasets and demographic variability of participants, tested variables, and statistical evaluation of results. Despite these advantages, gait recognition presents with different problems which are yet to be resolved. Therefore, courts should treat gait evidence with caution, as they should any other form of evidence originating from disciplines without fully established codes of practice, error rates, and demonstrable applications in forensic scenarios.