SMART WHEELCHAIR KIT FOR PARALYZED PATIENTS WITH EFFECTIVE EMG AND EOG CONTROLS
This project presents the development of an intelligent assistive mobility system designed to enhance the independence of individuals with severe paralysis through a retrofittable smart wheelchair kit. The system integrates multiple control mechanisms, including Electromyography (EMG), Electrooculography (EOG), joystick-based manual control, and Bluetooth-enabled wireless operation, enabling flexible and user-adaptive navigation. EMG signals obtained from voluntary muscle activity and EOG signals derived from eye movements are continuously acquired and processed to detect user intent. These bio-signals undergo signal conditioning, filtering, and threshold-based decision-making to generate accurate directional commands for wheelchair movement, ensuring reliable and responsive control even for users with minimal physical capability. A microcontroller-based control unit manages all inputs and interfaces with motor drivers to regulate speed and direction. Performance evaluation is conducted based on response time, control accuracy, and user adaptability, demonstrating that the multi-modal approach significantly improves accessibility and usability while maintaining low implementation cost and practical feasibility.
R.S.Janani, , S.Bharat, , P.Gopurajeyam, & M.Karthikeyan, (2026). Smart Wheelchair Kit for Paralyzed Patients with Effective EMG and EOG Controls. International Journal of Science, Strategic Management and Technology, 02(03). https://doi.org/10.55041/ijsmt.v2i3.231
R.S.Janani, , et al.. "Smart Wheelchair Kit for Paralyzed Patients with Effective EMG and EOG Controls." International Journal of Science, Strategic Management and Technology, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i3.231.
R.S.Janani, , S.Bharat, P.Gopurajeyam, and M.Karthikeyan. "Smart Wheelchair Kit for Paralyzed Patients with Effective EMG and EOG Controls." International Journal of Science, Strategic Management and Technology 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i3.231.
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