Locomotion System for ALS Patients using Artificial Intelligence
Abstract: This paper purposes the study of tools which aims to overcome the disability of handicapped people using their thinking capabilities. Many people around the world lack the credibility of vital movements and rely upon powered wheelchairs to complete their daily activities. However, many of them are not prescribed to use powered wheelchairs, either because they are physically unable to control the chair using a conventional interface, or because they are not capable of driving wheelchair safely. Thus in such cases, this project can be helpful.
Keywords: Neurosky waveform sensor EEG, Arduino, motors, Wheelchair, MATLAB, Brain-Computer Interface BCI, Amyotropic lateral sclerosis ALS
How to Cite?: Saurabh Singh, Akash Soni, Tarush Shenoy, Taruna Tiwari, "Locomotion System for ALS Patients using Artificial Intelligence", Volume 6 Issue 9, September 2017, International Journal of Science and Research (IJSR), Pages: 1998-2001, https://www.ijsr.net/getabstract.php?paperid=ART20177039, DOI: https://dx.doi.org/10.21275/ART20177039