Design and Simulation of Brain Controlled Electronic Wheelchair for Physically Challenged Person
Emani Susmitha1, K. Kishore Kumar2

1Emani Susmitha*, Department of Mechanical Engineering, Koneru Lakshmiah Education Foundation, Guntur, India.
2K. Kishore Kumar, Department of Mechanical Engineering, Koneru Lakshmiah Education Foundation, Guntur, India. 

Manuscript received on April 02, 2020. | Revised Manuscript received on April 21, 2020. | Manuscript published on May 30, 2020. | PP: 1166-1171 | Volume-9 Issue-1, May 2020. | Retrieval Number: A1552059120/2020©BEIESP | DOI: 10.35940/ijrte.A1552.059120
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Abstract: Improving the quality for the life of elders and disabled person and giving proper care at the right time is one of the most important role to be performed as a responsible citizen in the society. This paper is describing about the integration of hardware, software and sensors with the help of Brain Computer Interface (BCI) to develop best generation wheelchair for physical challenged persons. Electronic wheelchair is one of the easiest way for disabled persons to lead an independent life. This smart wheelchair is totally controlled by brain, and here mechatronics plays an important role in safety recovery. By developing these types of wheelchairs it can reduce the usage of human effort and force to drive the wheels of wheelchair. It also provides a better opportunity for physically handicap person to move from one place to another. One of the best method to record brain activities can be done with the help of electroencephalography (EEG) this is also known as brain waves signal, through these EEG signals the BCI interface encode and decode the signals and transfers to ATMEGA 328 microcontroller. This wheelchair with the support of motor drives the movement is designed in such a way to control the commands like moving forward and backward, stop, turn left and right. Intelligent Wheelchair is designed using solid works and implementing into MATLAB using simmechanics is simulated using simscape multibody and the resulting torque is obtained. The aim of this paper is implement mind controlled movements for disabled persons.Keywords: Orthosis, Paraplegia, Rehabilitation, Simulation, Under limb. 
Keywords: Arduino, ATMEGA 328, Brain computer interface, Emotiv EPOC headset, Electroencephalogram (EEG), wheelchair.
Scope of the Article: Computer Graphics, Simulation, and Modelling