Title :
Controlling a Wheelchair by Use of EOG Signal
Author :
Yathunanthan, S. ; Chandrasena, L.U.R. ; Umakanthan, A. ; Vasuki, V. ; Munasinghe, S.R.
Author_Institution :
Dept. of Electron. & Telecommun. Eng., Univ. of Moratuwa, Moratuwa
Abstract :
In this paper EOG signal processing and developing a low cost signal interface for wheelchair with high accuracy and reliability for severely disabled people is presented. Here the signal processing is done on a microcontroller which reduces the cost drastically rather than using a computer. Eye movement is detected by processing EOG signal, and associates the eye movement to motion commands of the wheelchair such as forward, reverse, left and right. A 99% accurate classification has been demonstrated experimentally.
Keywords :
electro-oculography; filtering theory; handicapped aids; medical signal processing; microcontrollers; motion control; wheelchairs; EOG signal processing; analog filtering; biological signal; disabled people; eye movement detection; microcontroller; motion commands; signal interface; wheelchair control; Biology computing; Biomedical signal processing; Costs; Electrodes; Electrooculography; Low pass filters; Microcontrollers; Senior citizens; Signal processing; Wheelchairs; Analog filtering; Biological signal; Electro-oculogram (EOG); Signal processing; Wheelchair;
Conference_Titel :
Information and Automation for Sustainability, 2008. ICIAFS 2008. 4th International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4244-2899-1
Electronic_ISBN :
978-1-4244-2900-4
DOI :
10.1109/ICIAFS.2008.4783987
