A robotic wheelchair is assumed to be capable
of doing tasks like navigation, obstacle detection, etc. using sensors and intelligence. The
initial part of the work was development of a cap controlled wheelchair to test
and verify the gesture operation. Following that, a real time operating wheelchair was
developed consisting of mode changing option between joystick control mode and
head gesture control mode as per as the user’s requirement. The wheelchair
consists of MPU6050 sensor, joystick module, RF module, battery, dc motor,
toggle switch and Arduino. The movement of the head is detected by MPU6050 and
the signal is transmitted to the microcontroller. Then the signal is processed
by controller and motion of wheelchair is enabled for navigation. The
wheelchair was capable of moving left, right, forward and backward direction.
The speed of the wheelchair was 4.8 km/h when tested. Design objective of the
wheelchair included cost effectiveness without compromising safety, flexibility
and mobility for the users.
References
[1]
Siddharth, P.D. and Deshpande, S. (2016) Embedded System Design for Real-Time Interaction with Smart Wheelchair. 2016 Symposium on Colossal Data Analysis and Networking, Indore, 18-19 March 2016, 1-4.
https://doi.org/10.1109/CDAN.2016.7570917
[2]
Srivastava, P. and Thakur, R. (2014) A Novel Head Gesture Recognition Based Control for Intelligent Wheelchairs. International Journal of Research in Electrical & Electronics Engineering, 2, 10-17.
[3]
Ismail, M., Fouzan Ishaqui, B.S., Karim Khan, A. and Abdul Quadeer, M. (2014) Head Gesture Based Control of Wheelchair for a Paralysed Person in an Indoor Environment. International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control, 2, 2079-2083.
https://doi.org/10.17148/IJIREEICE.2014.0210006
[4]
Bankar, R.T. and Salankar, S.S. (2015) Implementation of an Intelligent Head Gesture Recognition System. International Journal of Innovative Science and Modern Engineering, 3, 2319-6386.
[5]
Nasif, S. and Khan, M.A.G. (2017) Wireless Head Gesture Controlled Wheel Chair for Disable Persons. 2017 IEEE Region 10 Humanitarian Technology Conference, Dhaka, 21-23 December 2017, 156-161.
https://doi.org/10.1109/R10-HTC.2017.8288928
[6]
Machangpa, J.W. and Chingtham, T.S. (2018) Head Gesture Controlled Wheelchair for Quadriplegic Patients. Procedia Computer Science, 132, 342-351.
https://doi.org/10.1016/j.procs.2018.05.189
[7]
Kunti, A., Chouhan, V., Singh, K., Yadav, A.R., Yadav, I. and Pankaj, D. (2018) Head-Motion Controlled Wheel Chair Direction Using ATMega328p Microcontroller. International Journal of Advanced Research in Computer and Communication Engineering, 7, 61-65.
[8]
Azam, G. and Islam, M.T. (2015) Design and Fabrication of a Voice Controlled Wheelchair for Physically Disabled People. International Conference on Physics for Sustainable Development & Technology, Chittagong, 19-20 August 2015, 81-90.
[9]
Karim, K.E., Ahmed, H. and Nahiyan, H. (2014) Design and Simulation of an Automated Wheelchair with Vertically Adjustable Seat. International Conference on Mechanical Industrial & Energy Engineering, Khulna, 25-26 December, 2014, 1-6.
[10]
Saharia, T. and Bauri, J. (2017) Joystick Controlled Wheelchair. International Research Journal of Engineering and Technology, 4, 235-237.