Wheel-Chair Control Using Accelerometer Based Gesture Technology

This work presents a novel approach to gesture recognition system using accelerometer MEMS sensor in addition with ultrasonic obstacle detection. Gesture recognition has been extensively investigated and has traditionally been accomplished by methods based on joystick and camera based vision where camera is always tracking the movement of different body parts like face, eye etc. In our research we present a low cost, easily learnt and accessible system which utilizes the MEMS technology to detect the gesture.MEMS based technology is extensively used in many fields like motion control, tilt sensing, mobile phones and many more. Our system uses a MEMS accelerometer and it is able to recognize several gestures which have been previously specified. This system not only controls the movement of wheelchair but also detects the obstacle coming in its path and gives alarm to the user to take necessary action. Our project Automatic wheelchair basically works on the principle of acceleration, as the user moves his hand or tilts his hand it generates analog signal proportional to tilts that are processed by microcontroller unit and thus gives commands to the motors in which direction rotates. KeywordsMicrocontroller, accelerometer, wheelchair controls, gesture recognition, MEMS.