Non-hand-worn, load-free VR hand rehabilitation system assisted by deep learning based on ionic hydrogel

Many individuals suffer from stroke, osteoarthritis, or accidental hand injuries, making hand rehabilitation greatly significant. The current hand rehabilitation therapy requires repetitive task-oriented hand exercises, relying on exoskeleton mechanical gloves integrated with different sensors and actuators. However, these conventional mechanical gloves require wearing heavy mechanical components that need weight-bearing and increase hand burden. Additionally, these devices are usually structurally complex, complicated to operate, and require specialized medical institutions. Here, a Virtual Reality (VR) hand rehabilitation system is developed by integrating deep-learning-assisted electromyography (EMG)…

• CP
  China Postdoctoral Science Foundation

  Award: 2022M712852