Examining the feasibility of face gesture detection using a wheelchair mounted camera
MSIADU '09 Proceedings of the 1st ACM SIGMM international workshop on Media studies and implementations that help improving access to disabled users
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
ICCHP'10 Proceedings of the 12th international conference on Computers helping people with special needs: Part I
EOG-based visual navigation interface development
Expert Systems with Applications: An International Journal
Assistive robot application based on an RFID control architecture and a wireless EOG interface
Robotics and Autonomous Systems
Human brain control of electric wheelchair with eye-blink electrooculogram signal
ICIRA'12 Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part I
Estimation of electrooculography and blinking signals based on filter banks
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Internet browsing application based on electrooculography for disabled people
Expert Systems with Applications: An International Journal
Study of eye-glance input interface
HCI'13 Proceedings of the 15th international conference on Human-Computer Interaction: interaction modalities and techniques - Volume Part IV
Mobility assistive devices and self-transfer robotic systems for elderly, a review
Intelligent Service Robotics
Interface based on electrooculography for velocity control of a robot arm
Applied Bionics and Biomechanics
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This paper describes an eye-control method, based on electrooculography (EOG), for guiding and controlling a wheelchair for disabled people; the control is actually effected by eye movements within the socket. An eye model based on an electrooculographic signal is proposed and its validity is studied. Different techniques and guidance strategies are then shown with comments on the advantages and disadvantages of each one. The system consists of a standard electric wheelchair with an on-board computer, sensors and a graphic user interface run by the computer. This control technique could be useful in multiple applications, such as mobility and communication aid for handicapped persons.