Abstract | ||
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Human computer interfacing technology has paved a new way in providing services to people with special needs (i.e., elderly, people with impairments, or people with disabilities). Research is going on to interface the movement based biosignals with machines. Electrooculogram is the signal produced due to eye ball movements and can be used to control mobility aids. Electrooculogram is the potential difference around the eyes due to movement of the eye balls in different directions. In this study an acquisition system for electrooculogram is designed to collect the desired signal with low noise and then signal processing is done for control application. The contribution of this paper lies in the development of two new strategies of electrooculographic signal based control of motors in real time. |
Year | DOI | Venue |
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2012 | 10.1109/ISED.2012.12 | ISED '12 Proceedings of the 2012 International Symposium on Electronic System Design |
Keywords | Field | DocType |
control application,acquisition system,different direction,new strategy,online control signal generation,electrooculographic signal,mobility aid,low noise,human computer,eye ball,eye ball movement,human computer interaction | Wheelchair,Signal processing,Computer vision,Special needs,Ball (bearing),Interfacing,Potential difference,Low noise,Human–computer interaction,Artificial intelligence,Electro-oculography,Engineering | Conference |
ISBN | Citations | PageRank |
978-1-4673-4704-4 | 0 | 0.34 |
References | Authors | |
6 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Anwesha Banerjee | 1 | 3 | 1.78 |
Shounak Datta | 2 | 82 | 8.25 |
Pratyusha Das | 3 | 8 | 1.79 |
Amit Konar | 4 | 1859 | 140.38 |
D. N. Tibarewala | 5 | 68 | 11.88 |
R. Janarthanan | 6 | 2 | 1.47 |