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ROBOGait: A Mobile Robotic Platform for Human Gait Analysis in Clinical Environments.

Diego Guffanti1,2, Alberto Brunete1, Miguel Hernando1

  • 1Centre for Automation and Robotics (CAR UPM-CSIC), Universidad Politécnica de Madrid, 28012 Madrid, Spain.

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Summary

This study introduces a mobile robot with depth cameras for precise human gait analysis in real-world settings. The system accurately measures joint kinematics and gait descriptors, showing promise for clinical applications, even with patients exhibiting abnormal walking patterns.

Keywords:
clinical environmentshuman gait analysismarkerless systemmobile robotic platformsmotion capturemultiple sclerosis

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Area of Science:

  • Robotics
  • Biomechanics
  • Clinical Rehabilitation

Background:

  • Mobile robotic platforms are increasingly used for gait assistance.
  • Their application in human gait monitoring and analysis remains underexplored.
  • Integrating robots offers potential for novel medical applications and discoveries.

Purpose of the Study:

  • To propose and validate a mobile robotic platform using depth cameras for practical human gait analysis.
  • To assess the system's applicability in clinical settings, including patients with gait abnormalities.
  • To demonstrate the system's accuracy in evaluating joint kinematics and gait descriptors.

Main Methods:

  • Development of a mobile robotic platform with depth cameras.
  • Implementation of lane-keeping, person-following, and servoing control systems.
  • Validation against a Vicon-certified system for joint kinematics and gait descriptors.
  • Testing in practical scenarios and clinical trials with multiple sclerosis patients.

Main Results:

  • The robotic system achieved high accuracy in gait analysis, comparable to certified systems.
  • Lane-keeping effectiveness was confirmed in practical scenarios.
  • Initial clinical tests indicated applicability for analyzing abnormal walking patterns.
  • Occlusion issues in curved paths were mitigated by adjusting the servoing system and following distance.

Conclusions:

  • The mobile robotic platform provides accurate human gait analysis in practical and clinical settings.
  • The control strategy, focusing on frontal participant views, enhances gait capture.
  • This technology holds significant potential for advancing clinical gait assessment and research.