Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/97287
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
http://hdl.handle.net/10220/11835
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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