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Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults
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A vision based proposal for classification of normal and abnormal gait using RGB camera.

Mario Nieto-Hidalgo1, Francisco Javier Ferrández-Pastor1, Rafael J Valdivieso-Sarabia1

  • 1Department of Computing Technology, University of Alicante, P.O. Box 90, E-03080 Alicante, Spain.

Journal of Biomedical Informatics
|August 8, 2016
PubMed
Summary

This study introduces a new method for analyzing human gait by examining lower body movements. The system can distinguish between normal and abnormal gaits, aiding in early disease detection.

Keywords:
Computer visionFrailtyGait analysisHeel strikePattern recognitionSenilityToe off

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Area of Science:

  • Biomechanics
  • Kinesiology
  • Medical Diagnostics

Background:

  • Human gait involves complex coordination of the entire motor system.
  • Identifying gait abnormalities early can aid in diagnosing diseases.
  • Current gait analysis often focuses on specific parameters, with potential for broader application.

Purpose of the Study:

  • To develop a functional specification for gait analysis focusing on observational kinematic aspects.
  • To create a system for classifying normal versus abnormal human gait.
  • To explore the potential of gait analysis in rehabilitation, sports, and developmental pediatrics.

Main Methods:

  • Development of an image sequence analysis system to extract gait features.
  • Focus on lower body kinematic aspects for gait characterization.
  • Identification of dynamic parameters like heel strike, toe off, stride length, and time.

Main Results:

  • The prototype successfully determines dynamic gait parameters and skeleton joint information.
  • The system demonstrates a satisfactory ability to distinguish between normal and abnormal gait patterns.
  • Experiments were conducted on a dataset comprising 30 samples.

Conclusions:

  • The proposed functional specification and extraction system offer a robust method for gait analysis.
  • This approach has the potential for wide application across various fields requiring gait assessment.
  • The ability to differentiate normal from abnormal gait supports early detection of potential health issues.