The paper describes an intelligent wheelchair control system based on EOG. It can help disabled people improve their living ability. The system can acquire EOG signal from the user, detect the number of blink and the direction of glancing, and then send commands to the wheelchair robot via RS-232 to achieve the control of wheelchair robot. Wheelchair robot control system based on EOG is composed of processing EOG signal and human-computer interactive technology, which achieves a purpose of using conscious eye movement to control wheelchair robot.

Topics
Robotics
1.
Li
 
Jianjun
,
Zhang
 
Jichuan
,
Jin
 
Dewen
.
1995
. “
The development of a mobile health care robot
,”
J. Chinese Journal of Rehabilitation Medicine
,
03
:
126
–
128
.
Google Scholar
 
2.
Yuan
 
Kui
.
2006
. “
The development of intelligent wheelchair technology
,”
C. Beijing International Forum on Rehabilitation Medicine
.
Google Scholar
 
3.
Hahn
 
T.
 
2010
. “
Future Human Computer Interaction with special focus on input and output Techniques
,”
J. IEEE Trans. On Systems, man and cybernetics
, pp.
1
–
13
.
Google Scholar
 
4.
Duan
 
Jiding
.
2016
. “
The Control of Intelligent Wheelchair Using Brain Computer Interface
,”
D. South China University of Technology
.
Google Scholar
 
5.
Diez
 
P F
,
Müller
 
S M T
,
Mut
 
V A
, et al
2013
. “
Commanding a robotic wheelchair with a high-frequency steady-state visual evoked potential based brain–computer interface
,”
J. Medical Engineering & Physics
,
35
(
8
):
1155
–
1164
.
Google Scholar
Crossref
Search ADS
 
6.
Wu
 
Zhanwei
,
Yao
 
Xaiodong
,
Zou
 
Junzhong
, et al
2005
. “
Extraction of Eye Position Information from EOG Saccade Signal
,”
J. Journal of Last Cliina Lniversity of Science and Teclinology (Natural Science Edition)
,
31
(
2
):
212
–
214
.
Google Scholar
 
7.
Wang
 
Jun
,
Wu
 
Xiaopei
,
Lv
 
Zhao
.
2010
. “
Research on information extraction and recognition of the eye movements based on EOG
,”
J. Eletronic Measurement Technology
,
33
(
5
):
62
–
65
.
Google Scholar
 
8.
Lv
 
Zhao
,
Li
 
Mi
.
2007
. “
Research on Robot Control System Based on EOG
,”
J. Industrial Control Computer
, (
12
):
77
–
78
.
Google Scholar
 
9.
Barea
 
R
,
Boquete
 
L
,
Ortega
 
S
, et al 
2012
. “
EOG-based eye movements codification for human computer interaction
,”
J. Expert Systems with Applications
,
39
(
3
):
2677
–
2683
.
https://doi.org/10.1016/j.eswa.2011.08.123
Google Scholar
Crossref
Search ADS
 
10.
Wang
 
Zhaoyun
,
Wu
 
Xiaopei
.
2009
. “
Method of Leads in Gathering EOG
,”
J. Computer Technology and Development
,
19
(
6
):
28
–
33
.
Google Scholar
 
This content is only available via PDF.
© 2018 Author(s).
2018
Author(s)