Autonomous Mobile Wheelchair Powered Via EOG Signal Recognition
The approach of the wheelchair control by using electrooculography (EOG) signal recognition is proposed in this paper. This method allows users to control their wheelchair by using eyes movement. The main objective of this project is to identify the hyperpolarization and depolarization existing...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
IEEE Xplore
2014
|
| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/13779/1/1569972237.pdf http://eprints.utem.edu.my/id/eprint/13779/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The approach of the wheelchair control by
using electrooculography (EOG) signal recognition is
proposed in this paper. This method allows users to
control their wheelchair by using eyes movement. The
main objective of this project is to identify the
hyperpolarization and depolarization existing between
retina and cornea that produce the corneal-retinal
potential (CPR). The amplitude of CRP is collected
from 5 participants while the results in form of signal
are transferred to the Matlab environment for
analyzed. The signal analysis was carried out to attain
some information about the signals such as maximum
and minimum value. Threshold level is determined
based on the features of the signal and it has been
used to determine the direction of the wheelchair. The
implementation of the threshold level set using the
CRP collected onto the wheelchair prototype is
successfully achieved. |
|---|