Accelerometer based Hand Gesture Controlled Wheel Chair with ATmega32 for Physically Handicapped

In this project, we will learn How to design an Accelerometer based Hand Gesture Controlled Wheel Chair with AVR ATmega32 Microcontroller for Physically Handicapped. Here, we will use our hand gestures as input signals to drive the wheel chair in different direction and we will display the direction of movement of the wheel chair in a 16X2 alphanumeric LCD.Accelerometer based Hand Gesture Controlled Wheel Chair with ATmega32 for Physically Handicapped
In our case, hand gestures mean tilt of hand in different direction. To detect different hand gestures, we will use the ADX335 accelerometer sensor. The sensor will be attached to our hand with some material or through a hand glove. The three output signals of accelerometer sensor are analog in nature and it cannot be processed directly by ATmega32 microcontroller. For this, we will use the ADC of the ATmega32 microcontroller to convert the analog signals to digital values. After converting the analog signals of accelerometer sensor to digital values, the ATmega32 microcontroller will process the digital values to find different gestures of the hand. Once the hand gesture is known, the ATmega32 microcontroller will send the required signal to the DC motor driver (L293D) of the wheel chair to drive the wheel chair in the desired direction. Also, the microcontroller will display the direction of movement of the wheel chair in a 16X2 alphanumeric LCD.
The control hand gestures for the wheel chair are forward tilt, backward tilt, left tilt, right tilt and no tilt to drive the wheel chair in forward, backward, left, right direction and to stop it respectively. Now, tilt your hand in different direction and drive your wheel chair as you want.
For more detail: Accelerometer based Hand Gesture Controlled Wheel Chair with ATmega32 for Physically Handicapped


About The Author

Ibrar Ayyub

I am an experienced technical writer with a Master's degree in computer science from BZU Multan University. I have written for various industries, mainly home automation and engineering. My writing style is clear and simple, and I am skilled in using infographics and diagrams. I am a great researcher and am able to present information in a well-organized and logical manner.

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