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Vision-Based Pose Estimation for Robot-Mediated Hand Telerehabilitation.

Giuseppe Airò Farulla1, Daniele Pianu2, Marco Cempini3

  • 1Department of Control and Computer Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, Turin 10129, Italy. giuseppe.airofarulla@polito.it.

Sensors (Basel, Switzerland)
|February 11, 2016
PubMed
Summary

This study introduces a vision-based pose estimation system for intuitive hand telerehabilitation. The system enables remote control of a hand exoskeleton, allowing therapists to guide patient movements effectively.

Keywords:
hand exoskeletonhand telerehabilitationmotion trackingupper limb rehabilitation

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Area of Science:

  • Robotics
  • Human-Computer Interaction
  • Rehabilitation Engineering

Background:

  • Vision-based Pose Estimation (VPE) offers non-invasive human-robot interaction, crucial for intuitive interfaces in rehabilitation.
  • Current VPE interfaces are user-friendly, enabling untrained personnel like caregivers to assist in delicate rehabilitation tasks.
  • Wearable robotic exoskeletons show promise for assisting in physical therapy and rehabilitation exercises.

Purpose of the Study:

  • To present a novel master-slave system for hand telerehabilitation using VPE.
  • To develop an intuitive interface for remote control of a wearable hand exoskeleton (HX).
  • To enable real-time assessment of rehabilitation tasks through force feedback.

Main Methods:

  • A master-slave setup was designed for hand telerehabilitation.
  • The master unit uses an RGB-D camera for real-time 3D hand joint position tracking.
  • The slave unit features a wearable hand exoskeleton (HX) that replicates movements, with grip sensors for force feedback.

Main Results:

  • Experimental data from one operator and six volunteers validated the system's feasibility and performance.
  • The system successfully enabled an operator to directly control volunteers' hand movements during telerehabilitation exercises.
  • Real-time force feedback provided therapists with direct assessment capabilities.

Conclusions:

  • The proposed VPE-based master-slave system offers a feasible and intuitive solution for hand telerehabilitation.
  • The system facilitates remote control of a wearable hand exoskeleton, enhancing therapeutic interventions.
  • The integration of real-time pose estimation and force feedback supports effective remote patient monitoring and guidance.