title: Classification of Normal and Pathological Gait in Young Children Based on Foot Pressure Data.
abstract: Human gait recognition, an active research topic in computer vision, is generally based on data obtained from images/videos. We applied computer vision technology to classify pathology-related changes in gait in young children using a foot-pressure database collected using the GAITRite walkway system. As foot positioning changes with children's development, we also investigated the possibility of age estimation based on this data. Our results demonstrate that the data collected by the GAITRite system can be used for normal/pathological gait classification. Combining age information and normal/pathological gait classification increases the accuracy of the classifier. This novel approach could support the development of an accurate, real-time, and economic measure of gait abnormalities in children, able to provide important feedback to clinicians regarding the effect of rehabilitation interventions, and to support targeted treatment modifications.
authors: Beijing Advanced Innovation Center for Imaging Technology, Beijing, 100048, People's Republic of China. guodong.guo@mail.wvu.edu.|College of Information Engineering, Capital Normal University, Beijing, 100048, China. guodong.guo@mail.wvu.edu.|Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, 26506, USA. guodong.guo@mail.wvu.edu.
authors: Guodong
authors: G
authors: Guo
authors: Child Neurology, Department of Pediatrics, West Virginia University, Morgantown, WV, 26506, USA.
authors: Keegan
authors: K
authors: Guffey
authors: Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, 26506, USA.
authors: Wenbin
authors: W
authors: Chen
authors: Neurology, Neurocritical care Children's National Medical Center, 111 Michigan Avenue, Washington, DC, USA.
authors: Paola
authors: P
authors: Pergami
mesh_terms: D002675:Child, Preschool; D005080:Exercise Test / Q000295:instrumentation / Q000379:methods; D005528:Foot / Q000503:physiopathology; D005684:Gait; D020233:Gait Disorders, Neurologic / Q000145:classification* / Q000175:diagnosis / Q000503:physiopathology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D007596:Joints / Q000503:physiopathology; D010363:Pattern Recognition, Automated / Q000379:methods*; D011312:Pressure; D012372:ROC Curve; D012815:Signal Processing, Computer-Assisted; D012984:Software; D060388:Support Vector Machine; D014741:Video Recording
keywords: GAITRite walkway system; Health application; Medical instrument; Normal/pathological gait recognition