Journal of Forensic Biomechanics

Journal of Forensic Biomechanics
Open Access

ISSN: 2090-2697

+12 184512974

Citations Report

Citations Report - Journal of Forensic Biomechanics [92 Articles]

The articles published in Journal of Forensic Biomechanics have been cited 92 times by eminent researchers all around the world. Following is the list of articles that have cited the articles published in Journal of Forensic Biomechanics.

Gupta R. Factors affecting identification of individuals by gait cycle.

Sandau M. Applications of markerless motion capture in gait recognition. Medical Engineering and Physics. 2015;37(10):948-55.

Jamil N, Khir NH, Ismail M, Razak FH. Gait-based emotion detection of children with autism spectrum disorders: a preliminary investigation. Procedia Computer Science. 2015 Jan 1;76:342-8.

Chattopadhyay S, Sukul B. Identification from dorsal finger pattern: a new approach. Medicine, Science and the Law. 2012 Jan;52(1):17-21.

Thakurta AG, Iqbal R, Bhasin HV, De A, Maulik S. Human gait with reference to age, gender and impact of load: a review. Adv Appl Physiol. 2016 Jan 18;1:24-30.

Simsik D, Porada V, Galajdova A, Dolna Z. Experimental gait parameters analysis for identification purposes in criminalistics. Science & Justice. 2010;1(50):37.

Yang SX, Larsen PK, Alkjær T, Simonsen EB, Lynnerup N. Variability and similarity of gait as evaluated by joint angles: implications for forensic gait analysis. Journal of forensic sciences. 2014 Mar;59(2):494-504.

van Mastrigt NM, Celie K, Mieremet AL, Ruifrok AC, Geradts Z. Critical review of the use and scientific basis of forensic gait analysis. Forensic sciences research. 2018 Jul 3;3(3):183-93.

De Donno A, Valeria S, Bruno M, Francesco I, Fulvio L, Peter L. A Photogrammetric Method for Stature Estimation: Reliability and Validity. Research Journal of Applied Sciences, Engineering and Technology. 2012 Nov 15;4(22):4928-33.

Zhang L, Tan T, Ross A, Zafeiriou S. Special issue on" Multi-biometrics and Mobile-biometrics: Recent Advances and Future Research".

Birch I, Vernon W, Burrow G, Walker J. The effect of frame rate on the ability of experienced gait analysts to identify characteristics of gait from closed circuit television footage. Science & Justice. 2014 Mar 1;54(2):159-63.

Wang F, Yan L, Xiao J. Human Gait Recognition System Based on Support Vector Machine Algorithm and Using Wearable Sensors. Sensors and Materials. 2019 Jan 1;31(4):1335-49.

Edmond G, Cunliffe E. Cinderella story: the social production of a forensic science. J. Crim. L. & Criminology. 2016;106:219.

Birch S, Gafni A. Health Economics. Encyclopedia of Behavioral Medicine. 2013:915-7.

Yang SX, Larsen PK, Alkjær T, Lynnerup N, Simonsen EB. Influence of velocity on variability in gait kinematics: implications for recognition in forensic science. Journal of forensic sciences. 2014 Sep;59(5):1242-7.

Ludwig O, Dillinger S, Marschall F. Intra-individual gait pattern variability in specific situations: Implications for forensic gait analysis. Forensic science international. 2016 Jul 1;264:15-23.

Yang SX, Christiansen MS, Larsen PK, Alkjær T, Moeslund TB, Simonsen EB, Lynnerup N. Markerless motion capture systems for tracking of persons in forensic biomechanics: an overview. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 2014 Jan 2;2(1):46-65.

Yang SX, Larsen PK, Alkjær T, Simonsen EB, Lynnerup N. Variability and similarity of gait as evaluated by joint angles: implications for forensic gait analysis. Journal of forensic sciences. 2014 Mar;59(2):494-504.

Simonsen EB. Contributions to the understanding of gait control. Copenhagen: University of Copenhagen; 2014 Apr 1.

Lynnerup N, Larsen PK. Gait as evidence. IET biometrics. 2014 Apr 9;3(2):47-54.

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