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|Title:||An electrooculogram based assistive communication system with improved speed and accuracy using multi-directional eye movements||Authors:||Thomas, Kavitha P.
Nathan, Divya Swami
Vinod, Achutavarrier Prasad
|Keywords:||DRNTU::Engineering::Computer science and engineering||Issue Date:||2012||Source:||Nathan, D. S., Vinod, A. P., & Thomas, K. P. (2012). An electrooculogram based assistive communication system with improved speed and accuracy using multi-directional eye movements. 2012 35th International Conference on Telecommunications and Signal Processing (TSP).||Abstract:||Human-Computer Interface (HCI) enables people to control computer applications using bio-electric signals recorded from the body. HCI can be a potential tool for people with severe motor disabilities to communicate to external world through bio-electric signals. In an Electrooculogram (EOG) based HCI, signals during various eye (cornea) movements are employed to generate control signals. This paper presents the design of an EOG-based typing system which uses a virtual keyboard for typing letters on the monitor using 8 types of distinct EOG patterns. Identification of EOG pattern is based on the amplitude and timing of positive and negative components within the signal. Experimental results show that proposed EOG-based typing system achieves a higher typing speed of 15 letters/min and an improved accuracy of 95.2% compared to the state-of art method that has a typing speed of 12.1 letters/min and accuracy of 90.4%.||URI:||https://hdl.handle.net/10356/97287
|DOI:||http://dx.doi.org/10.1109/TSP.2012.6256356||Rights:||© 2012 IEEE.||Fulltext Permission:||none||Fulltext Availability:||No Fulltext|
|Appears in Collections:||SCSE Conference Papers|
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