Influence of Velocity on Variability in Gait Kinematics: Implications for Recognition in Forensic Science

Closed circuit television (CCTV) footage is often available from crime scenes and may be used to compare perpetrators with suspects. Usually, the footage comprises incomplete gait cycles at different velocities, making gait pattern identification from crimes difficult. This study investigated the concurrence of joint angles throughout a gait cycle at three different velocities (3.0, 4.5, 6.0 km/h). Six datasets at each velocity were collected from 16 men. A variability range VR throughout the gait cycle at each velocity for each joint angle for each person was calculated. The joint angles at each velocity were compared pairwise, and whenever this showed values within the VR of this velocity, the case was positive. By adding the positives throughout the gait cycle, phases with high and low concurrences were located; peak concurrence was observed at mid‐stance phase. Striving for the same velocity for the suspect and perpetrator is recommended.

[1]  Tine Alkjær,et al.  Variability and Similarity of Gait as Evaluated by Joint Angles: Implications for Forensic Gait Analysis , 2014, Journal of forensic sciences.

[2]  Susan J Hillman,et al.  Kinematic and Kinetic Gait Characteristics of Normal Children Walking at a Range of Clinically Relevant Speeds , 2002, Journal of pediatric orthopedics.

[3]  Steven J Stanhope,et al.  Changes in knee joint function over a wide range of walking speeds. , 1997, Clinical biomechanics.

[4]  Imed Bouchrika,et al.  On Using Gait in Forensic Biometrics , 2011, Journal of forensic sciences.

[5]  M. Perc The dynamics of human gait , 2005 .

[6]  Niels Lynnerup,et al.  Person identification by gait analysis and photogrammetry. , 2005, Journal of forensic sciences.

[7]  C Kirtley,et al.  Influence of walking speed on gait parameters. , 1985, Journal of biomedical engineering.

[8]  A Hreljac,et al.  Determinants of the gait transition speed during human locomotion: kinematic factors. , 1995, Journal of biomechanics.

[9]  Rita M. Kiss,et al.  The influence of walking speed on gait parameters in healthy people and in patients with osteoarthritis , 2006, Knee Surgery, Sports Traumatology, Arthroscopy.

[10]  T. Lejeune,et al.  Effect of speed on kinematic, kinetic, electromyographic and energetic reference values during treadmill walking , 2008, Neurophysiologie Clinique/Clinical Neurophysiology.

[11]  Zeno J. Geradts,et al.  Use of gait parameters of persons in video surveillance systems , 2002, SPIE Defense + Commercial Sensing.

[12]  Erik B Simonsen,et al.  Variability of Bodily Measures of Normally Dressed People Using PhotoModeler® Pro 5 * , 2008, Journal of forensic sciences.

[13]  Michael H Schwartz,et al.  The effect of walking speed on the gait of typically developing children. , 2008, Journal of biomechanics.

[14]  Mark S. Nixon,et al.  Using comparative human descriptions for soft biometrics , 2011, 2011 International Joint Conference on Biometrics (IJCB).

[15]  E. Simonsen,et al.  Gait Recognition Using Joint Moments, Joint Angles, and Segment Angles , 2010 .

[16]  Kirsten Tulchin,et al.  The effects of walking speed on multisegment foot kinematics in adults. , 2009, Journal of applied biomechanics.

[17]  D. Kerrigan,et al.  Predicting peak kinematic and kinetic parameters from gait speed. , 2003, Gait & posture.

[18]  Yasushi Makihara,et al.  The OU-ISIR Gait Database Comprising the Large Population Dataset and Performance Evaluation of Gait Recognition , 2012, IEEE Transactions on Information Forensics and Security.

[19]  Peter Wolf,et al.  Day-to-Day consistency of lower extremity kinematics during walking and running. , 2009, Journal of applied biomechanics.