Applying Image Processing Technology to Improve the Effectiveness of Intelligent Robotic Gloves in the Rehabilitation Treatment

Abstract

This paper presents the design and development of a robotic glove system—comprising hardware, software, and control algorithms—intended for rehabilitation of patients with paralysis or limited mobility. The hardware integrates both mechanical and electrical components. Mechanically, the system utilizes a commercially available glove equipped with soft rubber joints to improve finger flexibility, and it also employs electric air pumps to deliver the necessary actuation force. The electrical circuitry is custom-designed by the authors. On the software side, the glove features a suite of goal-oriented rehabilitation exercises. Furthermore, leveraging image processing technology, the system includes a mirroring mode, allowing the healthy hand to guide the movements of the impaired hand. The authors also introduce adaptive control algorithms and targeted exercises tailored to varying levels of patient progress. To enhance user engagement—particularly for elderly patients and children—the system incorporates game-based training, reducing the monotony often associated with rehabilitation routines.