A Survey on Assistive Technology for ALS Patients

Authors

  • N Gitanjali APS College of Engineering, Bangalore
  • P Bhargavi APS College of Engineering, Bangalore
  • Princy Kishore B APS College of Engineering, Bangalore
  • Sangeetha K APS College of Engineering, Bangalore
  • Bhagyashree R APS College of Engineering, Bangalore

Keywords:

MND, ALS, EOG, Hough Transform, Machine Learning

Abstract

Amyotrophic Lateral Sclerosis is a medical disorder where control over the whole body is lost due to degenerative neurons. These kinds of patients find it almost impossible to move around or even speak. This paper focuses on methods that have been proposed to help such kind of people. Though these methods might be accurate, they are extremely expensive. A method which is cost effective and also accurate which can help these people to commute and communicate is the need of the hour.

Downloads

Download data is not yet available.

Downloads

Published

2019-11-05

How to Cite

[1]
N. Gitanjali, P. Bhargavi, P. K. B, S. K, and B. R, “A Survey on Assistive Technology for ALS Patients”, pices, vol. 3, no. 7, pp. 44-46, Nov. 2019.