Implementation of Artificial Intelligence Wheel Chair for Differently-abled Person
A.Sahaya Anselin Nisha1, T.Bernatin2

1A.Sahaya Anselin Nisha*, Department of ECE, Sathyabama Institute of Science and Technology, Chennai, India.
2T.Bernatin*, Department of ECE, Sathyabama Institute of Science and Technology, Chennai, India. 

Manuscript received on 11 August 2019. | Revised Manuscript received on 15 August 2019. | Manuscript published on 30 September 2019. | PP: 1052-1054 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4238098319/19©BEIESP | DOI: 10.35940/ijrte.C4238.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The vehicle is designed by taking into consideration of the physically challenged people especially the paraplegic patients. These people are living in our vicinity with paralyzed legs, their mode of transport from one place to another is through the wheel chairs. The normal wheel chair has to be operated manually with more man power, this eventually makes tiresome for people to cover long distances, in order to overcome such hardships faced by those people artificial intelligent wheel chair is proposed work. The vehicle is being controlled by the analog sensors fitted in the patient’s hand. The device used here is an accelerometer MPU 6050 sensor. The arduino nano board and arduino uno board is acting as an interface between the accelerometer and RF transmitter, DC gear motor and the RF receiver respectively. Coding is developed be the principles of accelerometer in x, y and z directions. The vehicle moves in all four direction according to the gesture of the patient. On the whole the vehicle is patient friendly and cost efficient.
Keywords: Arduino uno Board, Arduino nano Board, DC Gear Motor, Gesture, Handicapped People.

Scope of the Article:
Artificial Intelligence Approaches to Software Engineering