EOG-based eye movement detection and gaze estimation for an asynchronous virtual keyboard

2019 ◽  
Vol 47 ◽  
pp. 159-167 ◽  
Author(s):  
Nathaniel Barbara ◽  
Tracey A. Camilleri ◽  
Kenneth P. Camilleri
Keyword(s):  
Eye Movement ◽  
Gaze Estimation ◽  
Movement Detection ◽  
Virtual Keyboard

Directional eye movement detection system for virtual keyboard controller

2012 ◽  
Author(s):  
Watcharin Tangsuksant ◽  
Chittaphon Aekmunkhongpaisal ◽  
Patthiya Cambua ◽  
Theekapun Charoenpong ◽  
Theerasak Chanwimalueang
Keyword(s):  
Eye Movement ◽  
Detection System ◽  
Movement Detection ◽  
Virtual Keyboard

System for driver's eye movement detection

JSAE Review ◽  
1995 ◽  
Vol 16 (1) ◽  
pp. 74-76
Author(s):  
T Nakano
Keyword(s):  
Eye Movement ◽  
Movement Detection

A comparison of conventional and matched filtering techniques for rapid eye movement detection of the newborn [electro-oculography]

1994 ◽  
Vol 41 (10) ◽  
pp. 990-995 ◽  
Author(s):  
G.M. Hatzilabrou ◽  
N. Greenberg ◽  
R.J. Sclabassi ◽  
T. Carroll ◽  
R.D. Guthrie ◽  
...  
Keyword(s):  
Eye Movement ◽  
Matched Filtering ◽  
Rapid Eye Movement ◽  
Movement Detection ◽  
Filtering Techniques

scholarly journals Design, Sensing and Control of a Robotic Prosthetic Eye for Natural Eye Movement

2006 ◽  
Vol 3 (1) ◽  
pp. 29-41 ◽  
Author(s):  
J. J. Gu ◽  
M. Meng ◽  
A. Cook ◽  
P. X. Liu
Keyword(s):  
Control System ◽  
Eye Movement ◽  
Experimental Studies ◽  
Failure Detection ◽  
Sensor Data ◽  
Generation Model ◽  
Movement Detection ◽  
Sensor Failure ◽  
And Control ◽  
Prosthetic Eye

Loss of an eye is a tragedy for a person, who may suffer psychologically and physically. This paper is concerned with the design, sensing and control of a robotic prosthetic eye that moves horizontally in synchronization with the movement of the natural eye. Two generations of robotic prosthetic eye models have been developed. The first generation model uses an external infrared sensor array mounted on the frame of a pair of eyeglasses to detect the natural eye movement and to feed the control system to drive the artificial eye to move with the natural eye. The second generation model removes the impractical usage of the eye glass frame and uses the human brain EOG (electro-ocular-graph) signal picked up by electrodes placed on the sides of a person's temple to carry out the same eye movement detection and control tasks as mentioned above. Theoretical issues on sensor failure detection and recovery, and signal processing techniques used in sensor data fusion, are studied using statistical methods and artificial neural network based techniques. In addition, practical control system design and implementation using micro-controllers are studied and implemented to carry out the natural eye movement detection and artificial robotic eye control tasks. Simulation and experimental studies are performed, and the results are included to demonstrate the effectiveness of the research project reported in this paper.

Two Improving Methods of EOG-based Eye Movement Detection for HCI

2019 ◽  
Vol 139 (12) ◽  
pp. 1474-1480
Author(s):  
Minghui Chen ◽  
Daisuke Anzai ◽  
Jianqing Wang ◽  
Toshihiko Terado ◽  
Georg Fischer
Keyword(s):  
Eye Movement ◽  
Movement Detection
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