Forensic Gait Analysis and Recognition: Standards of Evidence Admissibility

• Macoveciuc, Ioana ^[1] ; Rando, Carolyn J. ^[1] ; Borrion, Hervé ^[1]
  1. [1] University College London

     University College London

     Reino Unido

     
• Localización: Journal of forensic sciences, ISSN-e 1556-4029, ISSN 0022-1198, Vol. 64, Nº. 5, 2019, págs. 1294-1303
• Idioma: inglés
• Enlaces
  • Texto completo
• Resumen

  • 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 remaininsufficiently robust, considering the recent paradigm shift witnessed in the forensic science community regarding quality of evidence. In con-trast, technological advancements have taken the lead, and research into automated gait recognition has greatly surpassed forensic gait analysisin 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 evi-dence with caution, as they should any other form of evidence originating from disciplines without fully established codes of practice, errorrates, and demonstrable applications in forensic scenarios.