A Novel Electronic Wheel Chair Design using Artificial Intelligence Assisted Smart Sensors and Controller

This research work introduces a design paradigm for an electronic wheelchair, incorporating Artificial Intelligence (AI) assisted smart sensors and controllers to enhance overall functionality and user experience. Core components include advanced sensors for environmental and health data, an intelligent controller driven by AI algorithms, and motorized wheels for achieving seamless mobility. The smart sensors, spanning temperature, ECG, oxygen, and heart rate sensors, contribute to real-time health monitoring and environmental awareness. The AI-assisted controller optimizes wheelchair navigation, providing a responsive and adaptive system. Comparative performance metrics reveal the proposed design's superiority over traditional control methods, demonstrating heightened precision, sensitivity, specificity, and an impressive overall accuracy. User feedback corroborates the success of this innovative design, attaining high ratings for ease of use, health monitoring capabilities, overall comfort, and higher accuracy. This work outlines a transformative approach to electronic wheelchair design, emphasizing cutting-edge technologies to address user needs, enhancing performance standards, and redefine the landscape of mobility assistance and proposed DNN model achieved an accuracy of 0.97.