Robotics
Gesture Based Wheel chair
Tej Kumar
Mostly Physically Handy-capped people always face trouble in moving from one place to another place.
Through this project, you are going to create a unique wheelchair which can be controlled with the Wrist movements using an accelerometer.
Read more..
Looking to build project on Gesture Based Robotics?:
Skyfi Labs gives you the easiest way to learn and build this project.
- Gesture Based Robotics Kit will be shipped to you (anywhere in the world!)
- Use high quality videos to understand concepts and build the project
- Get 1 to 1 expert assistance from Skyfi Labs engineers while doing the project
- Earn a smart certificate on finishing the project
You can start for free and pay only if you like it!
You will need an Arduino Uno board for interfacing microcontroller with the Accelerometer.
The accelerometer will be attached to the glove.
The accelerometer will detect the movement of the Wrist with respect to two axes (X and Y).
You will program the microcontroller in such a way that say whenever you bend your Wrist, the accelerometer will give new coordinates (Shifted Coordinates in X-Y Plane).
The new coordinates will be compared with default coordinates and Based on this comparison, your microcontroller will make your wheelchair to move into specified direction.
Project Description:
- Accelerometer: An accelerometer is a device that measures proper acceleration. Proper acceleration, being the acceleration (or rate of change of velocity) of a body in its own instantaneous rest frame, is not the same as coordinate acceleration, being the acceleration in a fixed coordinate system.
For example, an accelerometer at rest on the surface of the Earth will measure an acceleration due to Earth's gravity, straight upwards of g (9.81 m/s2).
By contrast, accelerometers in free fall (falling toward the center of the Earth at a rate of about 9.81 m/s2) will measure zero.
- Capacitive
- Piezoelectric
- Piezoresistive
- Hall Effect
- Magnetoresistive
- Heat Transfer
The accelerometer which you are going to use is a capacitive type 3-axis Accelerometer Sensor. It measures acceleration within minimum full-scale range of ±3g.( but we use only two axes here)
- Arduino/Genuino Uno: The digital and analog input/output pins equipped in this board can be interfaced to various expansion boards and other circuits.
Serial communication interface is a feature in this board, including USB which will be used to load the programs from computer.
- DC motors: These motors works with DC power as name indicates itself. So these motors will convert the DC Electric power in Rotating Mechanical Power.
- Motor Driver: Generally the Arduino board is not capable of providing the required amount of current for running the motors. So we use a device called Motor Driver which will provide sufficient current for driving the motors.
Did you know
Skyfi Labs helps students learn practical skills by building real-world projects.
You can enrol with friends and receive kits at your doorstep
You can learn from experts, build working projects, showcase skills to the world and grab the best jobs.
Get started today!
Project Implementation:
- Attach those Accelerometer to glove and wear the glove in such a way that when you move your wrist, the initial position of the accelerometer should change.
- Interface the Accelerometer and DC motors with the Arduino board.
- Upload the code.
- Test the chair by moving your wrist.
Software requirements:
- Arduino IDE : You will be needing Arduino IDE software to write and upload the programming logic onto the Arduino Uno board
- Thingspeak : Also, you need to create an account in the ThinkSpeak IoT platform to integrate the system onto the cloud and store the data online
Programming language: Arduino Programming (C++)
Latest projects on Robotics
Want to develop practical skills on Robotics? Checkout our latest projects and start learning for free
Kit required to develop Gesture Based Wheel chair :
Technologies you will learn by working on Gesture Based Wheel chair :
Gesture Based Wheel chair
Skyfi Labs
•
Published:
2018-04-30 •
Last Updated:
2022-04-18