Kinect v2 based system for gait assessment of children with cerebral palsy in rehabilitation settings

Caue Conterno Barreira1, Arturo Forner-Cordero1, Patricia Moreno Grangeiro2

  • 1Escola Politecnica da USP, Universidade de Sao Paulo, Sao Paulo, Brazil.

Insights

A new, low-cost Kinect v2 sensor system effectively analyzes gait in children with cerebral palsy (CP). This portable technology provides accurate gait parameter data, improving rehabilitation accessibility for children with motor disabilities.

Area of Science:

  • Biomedical Engineering
  • Rehabilitation Science
  • Pediatric Neurology

Background:

  • Cerebral palsy (CP) is a leading cause of childhood motor disability, characterized by gait limitations despite mobility.
  • Effective rehabilitation relies on gait analysis, but current systems are costly and complex.
  • Accessible, low-cost gait analysis tools are needed to improve CP treatment.

Purpose of the Study:

  • To validate a novel, low-cost Kinect v2 sensor system for gait analysis in children with cerebral palsy (CP).
  • To assess the system's ability to capture and analyze gait parameters in pediatric CP patients with varying motor function levels.

Main Methods:

  • Developed a portable, user-friendly gait analysis system using the Kinect v2 sensor.
  • Recorded gait parameters of eleven children with CP (GMFCS levels II-III) walking on a flat surface.
  • Validated the Kinect system's data against traditional video-recording methods.

Main Results:

  • The Kinect-based system demonstrated comparable results to video analysis for gait parameter capture.
  • The system proved effective even for GMFCS III patients with significant gait variability and abnormal patterns.
  • The low-cost, unobtrusive nature of the Kinect system enhances accessibility for gait analysis in CP populations.

Conclusions:

  • The developed Kinect v2 system offers a cost-effective and accessible solution for gait analysis in children with cerebral palsy.
  • This technology has the potential to significantly improve rehabilitation strategies by providing unobtrusive, detailed gait insights.
  • Further research can explore its application across broader CP classifications and diverse clinical settings.

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