Upper Limb Rehabilitation Robot Module and System with Precision Vision-Based Control

Upper Limb Rehabilitation Robot Module with Vision-Based Grasp Control

This technology is an exoskeleton module worn on the user's hand and wrist. It utilizes a camera and distance sensor to recognize external objects, determines the object through an interface based on the user's arm strength and directional control, and drives the finger mechanism to grasp the object. It functions as both an upper limb rehabilitation robot module and a complete rehabilitation robot system.

Existing hand rehabilitation robots suffer from low accuracy and high noise in biosignal recognition, such as electromyography (EMG). Furthermore, it is difficult to interpret the intentions of paralyzed patients due to their limited muscle strength, making these devices impractical for daily use.

This technology proposes a control system that uses image processing via a camera and distance sensor to visually identify and confirm objects for grasping. By accurately reflecting the user's intent, it enables precise control of the finger drive mechanism. It can be used for daily living assistance and hand rehabilitation training for paralyzed patients. By relying on vision-based intent recognition rather than biosignals, it allows patients with weak muscle strength to use the device effectively.

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Key Features:

• A body that connects to and supports the user's hand, and a drive unit located on one side of the body to move the fingers.
• A pressure transmission unit at one end of the drive unit to apply grasping force to the fingers, and a distance sensor to measure the distance to external objects.
• A camera unit that recognizes the shape of external objects, adjusts its orientation in response to arm muscle movement, and identifies specific objects.
• An interface unit that displays identified objects for confirmation, and a control unit that manages the operation of the drive unit.