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  4. Soft Robotic Glove with Sensing and Force Feedback for Rehabilitation in Virtual Reality

Soft Robotic Glove with Sensing and Force Feedback for Rehabilitation in Virtual Reality

Biomimetics, 2023 · DOI: 10.3390/biomimetics8010083 · Published: February 15, 2023

Assistive TechnologyBiomedical

Simple Explanation

The study introduces a low-cost soft robotic glove designed for hand rehabilitation in virtual reality (VR). The glove uses inertial measurement units to track finger motion. It incorporates a motor-tendon system to provide force feedback to the fingertips, simulating the sensation of touching a virtual object. The glove employs a static threshold correction and a complementary filter to accurately calculate finger postures. The system uses a field-oriented control algorithm to manage the force applied to the fingers. The glove's functionality is demonstrated within a Unity-based VR interface, allowing users to experience haptic feedback while interacting with virtual objects, such as squeezing a soft ball.

Study Duration
Not specified
Participants
Not specified
Evidence Level
Not specified

Key Findings

  • 1
    Fifteen IMUs are used for finger motion tracking, and their data is processed using a static threshold correction method and complementary filter to calculate finger attitude angles.
  • 2
    The motor-tendon actuation system can provide a maximum force of 3.14 N to the fingertips within the tested current limit.
  • 3
    The developed soft robotic glove, integrated with a VR interface, effectively provides haptic feedback, allowing users to feel the sensation of squeezing a virtual ball.

Research Summary

This study presents a soft robotic glove designed for hand rehabilitation in virtual reality (VR). The glove uses fifteen inertial measurement units (IMUs) for finger motion tracking and a motor-tendon system to provide force feedback to the fingertips. The glove incorporates a static threshold correction and complementary filter for accurate finger posture calculation, and a field-oriented control (FOC) algorithm for controlling the force applied to the fingers. The system's effectiveness is demonstrated in a Unity-based VR interface, where users can interact with virtual objects and experience haptic feedback, offering a cost-effective solution for hand rehabilitation and training.

Practical Implications

Accessible Hand Rehabilitation

The low cost of the glove (approximately $220 USD) makes it accessible to a larger population, offering a cost-effective solution for hand rehabilitation.

VR-Based Interactive Training

The integration of the glove with a VR interface allows for customized and engaging rehabilitation programs, potentially increasing patient motivation and training effectiveness.

Foundation for Future Applications

The glove can serve as a basis for future applications in soft wearable haptics, such as gaming and remote control, expanding its potential use beyond rehabilitation.

Study Limitations

  • 1
    Optimization of the number and distribution of sensors to obtain whole-hand motion
  • 2
    Lightweight design such as using smaller motors and an optimized motor assembly design
  • 3
    Algorithms for automatic assessment of the motor impairment level will be developed in conjunction with a rehabilitation scale, improved VR scenes, and artificial intelligence.

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