Title :
EEG control of an electric wheelchair for disabled persons
Author :
Ben Taher, Fatma ; Ben Amor, Nahla ; Jallouli, M.
Author_Institution :
Ecole Nat. d´Ing. de sfax ENIS, Univ. de Sfax, Sfax, Tunisia
Abstract :
This paper presents a description of an intelligent control method for controlling an electric wheelchair for several disabled persons. It also describes a non invasive approach based on EEG brain signal that can command the wheelchair with cognitive data, eye movements and head gestures. Our technique aim is to cover the largest number of handicapped person.
Keywords :
cognition; electric vehicles; electroencephalography; gesture recognition; handicapped aids; human-robot interaction; intelligent control; medical robotics; medical signal processing; mobile robots; wheelchairs; EEG brain signal; EEG control; Emotiv headset; cognitive data; disabled persons; electric wheelchair; eye movements; handicapped person; head gestures; head movement; intelligent control method; Head; Mobile robots; Robot sensing systems; Tracking; Wheelchairs; Wireless sensor networks; EEG signals; Emotiv headset; eye movement; head movement; wheelchair;
Conference_Titel :
Individual and Collective Behaviors in Robotics (ICBR), 2013 International Conference on
Conference_Location :
Sousse
DOI :
10.1109/ICBR.2013.6729275
