Title :
A brain-computer interface for intelligent wheelchair mobility
Author :
Lin, C.T. ; Euler, C. ; Mekhtarian, A. ; Gil, A. ; Hern, L. ; Prince, D. ; Shen, Y. ; Horvath, J.
Author_Institution :
Dept. of Mech. Eng., California State Univ., Northridge, CA, USA
fDate :
March 28 2011-April 1 2011
Abstract :
The project addresses a solution to assisting people confined to wheelchairs, who may be physically, perceptively, or cognitively challenged, in restoring or augmenting their ability to steer a wheelchair by integrating brainwave decoding, onboard sensing, artificial neural networking, and machine learning in an intelligent wheelchair system.
Keywords :
brain; brain-computer interfaces; electroencephalography; handicapped aids; learning (artificial intelligence); medical signal processing; neural nets; artificial neural networking; brain-computer interface; brainwave decoding; intelligent wheelchair mobility; intelligent wheelchair system; machine learning; onboard sensing; Brain computer interfaces; Electroencephalography; Machine learning; Machine learning algorithms; Motion control; Sensors; Wheelchairs; autonomous; brain-computer interface; electroencephalography; intelligent wheelchair; mobility; neural-network;
Conference_Titel :
Health Care Exchanges (PAHCE), 2011 Pan American
Conference_Location :
Rio de Janeiro
Print_ISBN :
978-1-61284-915-7
DOI :
10.1109/PAHCE.2011.5871916
