DocumentCode
3544269
Title
Wheelchair Motion Control Guide Using Eye Gaze and Blinks Based on PointBug Algorithm
Author
Al-Haddad, Anwar ; Sudirman, Rubita ; Omar, Camallil ; Hui, Koo Yin ; Jimin, Muhammad Rashid
Author_Institution
Fac. of Electr. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
fYear
2012
fDate
8-10 Feb. 2012
Firstpage
37
Lastpage
42
Abstract
In this paper, we propose new method beside the classic method, to control the motorized wheelchair using EOG signals. The new method allows the user to look around freely while the wheelchair navigates automatically to the desired goal point. Only EOG signals are used to control the wheelchair; eye gazing and blinking. The user can still choose to control the wheelchair using the classic manual method in case the environment and obstacles structure does not help with the auto navigation method. In the new auto navigation method the microcontroller can know the goal point direction and distance by calculating the gaze angle that the user is gazing at. PoingBug algorithm is used to navigate the wheelchair in Auto controlling method. Simulated results are similar to Tangent Bug algorithm results, but experimental tests are slightly improved in some cases where the surroundings have sharp edges.
Keywords
electro-oculography; handicapped aids; medical signal processing; microcontrollers; motion control; retinal recognition; wheelchairs; EOG signals; PoingBug algorithm; auto navigation method; eye blinking; eye gazing; gaze angle; goal point direction; microcontroller; wheelchair motion control guide; Electrooculography; Manuals; Navigation; Robot sensing systems; Wheelchairs; blinking; bug algorithm; electrooculography; eye movement; gaze angle; wheelchair;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems, Modelling and Simulation (ISMS), 2012 Third International Conference on
Conference_Location
Kota Kinabalu
Print_ISBN
978-1-4673-0886-1
Type
conf
DOI
10.1109/ISMS.2012.23
Filename
6169672
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