Paper Title
Mems Based Wheel Chair Control System With Obstacle Avoidance

Abstract
This project presents a smart wheelchair control system utilizing MEMS (Micro-Electro-Mechanical Systems) technology combined with obstacle avoidance functionality to enhance mobility assistance for individuals with physical disabilities. The system employs a MEMS accelerometer sensor to detect head or hand tilt gestures, translating them into directional commands for wheelchair movement. This hands-free approach enables users with limited upper limb mobility to control the wheelchair intuitively. To ensure user safety, an ultrasonic sensor-based obstacle detection module is integrated into the system. This module continuously scans the wheelchair's surroundings, automatically halting or rerouting the wheelchair upon detecting nearby obstacles. The control logic is managed by a microcontroller, which interprets sensor data and drives the motors accordingly. The proposed system aims to improve the independence and safety of mobility-impaired individuals by combining gesture-based control with real-time obstacle avoidance. Its low cost, ease of use, and adaptability make it a promising solution for modern assistive technologies. Keywords - MEMS sensor, smart wheelchair, gesture-controlled wheelchair, obstacle avoidance system, ultrasonic sensor, Arduino wheelchair project, head movement control, accelerometer-based control, assistive mobility device, microcontroller wheelchair control, embedded system project, MEMS accelerometer, real-time obstacle detection, hands-free wheelchair, automated wheelchair, L298N motor driver, DC motor control, intelligent mobility aid.