EOG - Controlled Smart Wheelchair with Health Monitoring and Emergency Alert System

This project presents the design and development of an EOG-controlled smart wheelchair with health monitoring and emergency alert system, aimed at assisting physically disabled individuals in achieving independent mobility. Traditional wheelchairs often rely on manual or joystick-based control, which can be difficult or impossible for users with severe motor impairments. To address this challenge, the proposed system uses eye movement signals (Electrooculography – EOG) as an intuitive and hands-free method of control. In this system, eye movements are detected using electrodes and processed through a Bio Amp EXG module. These signals are then interpreted by the ESP32 microcontroller to control the movement of the wheelchair in different directions such as forward, backward, left, right, and stop. Along with mobility control, the system also includes health monitoring features, where parameters like heart rate and temperature are continuously observed using sensors. To enhance user safety, an emergency alert mechanism is integrated, which activates a buzzer and sends alerts when abnormal conditions are detected or triggered by the user. Additionally, the system uses Bluetooth communication to connect with a mobile application, allowing real-time monitoring and manual control when required.