Abstract: Patients who have inabilities in movements will get a much better life by using electronic supports for their daily needs. The aim of this work is to implement wheel chair direction control with hand gesture reorganization. This paper proposes an integrated approach to real time detection, tracking and direction recognition of hands, which is intended to be used as a human-robot interaction interface for the intelligent wheelchair. This paper demonstrates that accelerometers can be used to effectively translate finger and hand gestures into computer interpreted signals. For gesture recognition the accelerometer data is calibrated and filtered. The accelerometers can measure the magnitude and direction of gravity in addition to movement induced acceleration. Design and development of motion controlled wheelchair has been achieved using accelerometer sensors and ATMEGA328 microcontroller. The system is implemented practically and works well. The ACCELEROMETER senses the change in direction and accordingly the signal is given to microcontroller. Depending on the direction of the Acceleration, microcontroller controls the wheel chair directions like LEFT, RIGHT, FRONT, and BACK with the aid of DC motors.
Keywords: accelerometer, ATMEGA328 microcontroller, DC motor, wheelchair, gesture.
Title: Automatic Wheelchair Using Accelerometer
Author: Ankit Vijayvargiya, Rahul Yadav, Rajsee Sharma, Rashmi Meena, Sachin Sharma, Santosh Kanwar Shahwar Ahmed Siddiqui
International Journal of Electrical and Electronics Research
ISSN 2348-6988 (online)
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