Hand training device based on touch-vision bisynchronization
By using a hand training device based on tactile-visual dual synchronization, accurate detection of finger movements and real-time tactile feedback are achieved, solving the problems of sensor accuracy mismatch and high closed-loop feedback delay in existing VR rehabilitation systems. This provides a personalized rehabilitation plan suitable for the elderly and improves training effectiveness.
Patent Information
- Application Number
- CN202610536172.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-22
- Publication Date
- 2026-07-24
AI Technical Summary
Existing VR rehabilitation systems lack tactile feedback mechanisms, cannot achieve bidirectional synchronization of touch and vision, and the accuracy of sensors does not match rehabilitation needs. They also lack personalized adaptive mechanisms and have excessively high closed-loop feedback delays, resulting in limited effectiveness of finger rehabilitation training for the elderly.
A hand training device based on tactile-visual dual synchronization is adopted. Through the bionic joint knob, sensor and micro vibration motor on the wristband, the device can accurately detect finger movements and provide real-time tactile feedback. Combined with VR scene interaction, piecewise linear and logarithmic compression mapping algorithms are used to achieve physiological adaptive mapping and millisecond-level dual-synchronous closed-loop training.
It achieves precise detection of finger movements and real-time tactile feedback, improving the precision and compliance of rehabilitation training. It is suitable for the elderly and provides lightweight, low-cost personalized rehabilitation solutions, meeting the needs for precise detection of finger joint angles and pressure.