Enhancing Sensorimotor Rehabilitation through FPGA-Based Reaction Time Game with AI-Driven Recovery Tracking

This paper presents an innovative approach to assist individuals with Sensorimotor impairments in their limbs by utilising an FPGA system-based reaction time game integrated with Artificial Intelligence-driven recovery tracking. The core objective is to help patients regain limb functionality by engaging them in a competitive and immersive gaming experience that promotes reflex improvement. The system leverages the FPGA board to create an interactive environment where patients respond to illuminated LEDs by activating corresponding switches. AI algorithms are employed to monitor and analyse the recovery rate of each finger which then helps to provide detailed insights into the patient's progress. The AI tracks which fingers show improvement over time and evaluates their responsiveness when specific LEDs light up. This data-driven approach offers personalised feedback and aids the rehabilitation process by highlighting areas needing further attention. The paper details the design, implementation, and potential impact of this system on Sensorimotor rehabilitation, thereby demonstrating a novel intersection of gaming, AI, and healthcare technology.