DocumentCode :
2196135
Title :
Eye movement detection for wheelchair control application
Author :
Singh, Mandeep ; Jain, Prateek ; Chopra, Shaurya
Author_Institution :
Electrical & Instrumentation Engineering Department, Thapar University, Patiala, India
fYear :
2015
fDate :
24-25 Jan. 2015
Firstpage :
1
Lastpage :
5
Abstract :
An electric wheelchair is an aid for disabled people who have lost the ability to move. A conventional wheelchair is manually driven which cannot be used by full body impaired people, so a model is needed which can be beneficial to them. There are various motor operated wheelchairs available but none of them are perfectly accurate. Inaccuracy of wheelchair can have disastrous results for the operator. So, a design is required to navigate wheelchair which has high accuracy. This paper deals with deriving a method to navigate the wheelchair with high accuracy by collaborating E.O.G. method and interfacing a camera in front of eye to get maximum accuracy and giving highest priority to the safety of user.
Keywords :
Accuracy; Cameras; Electrodes; Electrooculography; Instruments; Microcontrollers; Wheelchairs; E.O.G.; Electrooculography; eye controlled wheelchair; microcontroller;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
Conference_Location :
Visakhapatnam, India
Print_ISBN :
978-1-4799-7676-8
Type :
conf
DOI :
10.1109/EESCO.2015.7253877
Filename :
7253877
Link To Document :
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