This paper is published in Volume-4, Issue-1, 2018
Area
Medical Innovation
Author
B. Vidya Sairam, N. Vijaykumar, Siddartha Addanki, Sai Prapanch A, Dr. Anand Kumar K. M
Org/Univ
Easwari Engineering College, Chennai, Tamil Nadu, India
Pub. Date
03 March, 2018
Paper ID
V4I1-1442
Publisher
Keywords
BCI, OpenBCI, Physically Challenged, EEG, EEG Headgear.

Citationsacebook

IEEE
B. Vidya Sairam, N. Vijaykumar, Siddartha Addanki, Sai Prapanch A, Dr. Anand Kumar K. M. Smartphone and Wheelchair Control for Bedridden and Semi-Paralyzed People using Brain-Control Interface (BCI), International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
B. Vidya Sairam, N. Vijaykumar, Siddartha Addanki, Sai Prapanch A, Dr. Anand Kumar K. M (2018). Smartphone and Wheelchair Control for Bedridden and Semi-Paralyzed People using Brain-Control Interface (BCI). International Journal of Advance Research, Ideas and Innovations in Technology, 4(1) www.IJARIIT.com.

MLA
B. Vidya Sairam, N. Vijaykumar, Siddartha Addanki, Sai Prapanch A, Dr. Anand Kumar K. M. "Smartphone and Wheelchair Control for Bedridden and Semi-Paralyzed People using Brain-Control Interface (BCI)." International Journal of Advance Research, Ideas and Innovations in Technology 4.1 (2018). www.IJARIIT.com.

Abstract

The community of semi-paralyzed and bedridden people account for almost 35 million of the world’s population. People with spinal cord injuries or nerve problems cannot live normal lives despite their minds remaining unaffected. They require constant attention and cannot be independent. They need assistance to even move around on a wheelchair or make use of ordinary devices like smartphones, which are an integral part of the modern world. The restrictions in the independent use of wheelchairs and smartphones do not allow the physically disabled people to contribute to the society effectively. Current technological solutions to help paralyzed and elderly people having physical disabilities require the use of custom made devices, which use sensors to detect muscle movement to interpret actions and thus control their wheelchair and any computing device they use. They are however very expensive and cannot cater to a general population of physically disabled people. Our solution is the use of a Brain-Computer Interface, which is a novel technology that enables people to control devices using their brainwaves. An electroencephalography (EEG) headgear is used to capture the brainwaves and transmit it to a smartphone and Arduino board to be interpreted and thus control them. This project hopes to enable wheelchair movement using BCI-Arduino communication. A specialized smartphone interface will provide a cursor in the phone, which can be controlled using the BCI headgear. The smartphone interface and the Arduino-wheelchair will be compatible with a wide range of BCI headgear. The use of BCI technology in this project will provide an economical and generalized solution that will cater to the entire paralyzed and elderly community while opposed to the current solution, which is expensive and custom made for each individual.