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Computational Intelligence and Neuroscience
Volume 2010 (2010), Article ID 135629, 5 pages
On the Use of Electrooculogram for Efficient Human Computer Interfaces
1IRCCS Fondazione Santa Lucia, Via Ardeatina, 306, 00179, Rome, Italy
2Department of Technical Sciences, The NCO Academy, 10100 Balikesir, Turkey
Received 13 June 2009; Accepted 28 July 2009
Academic Editor: Fabrizio De Vico Fallani
Copyright © 2010 A. B. Usakli et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citations to this Article [10 citations]
The following is the list of published articles that have cited the current article.
- Robert Krupiński, and Przemysław Mazurek, “Convergence improving in evolution-based technique for estimation and separation of electrooculography and blinking signals,” Advances in Intelligent and Soft Computing, vol. 69, pp. 293–302, 2010.
- Robert Krupiński, and Przemysław Mazurek, “Towards to real-time system with optimization based approach for EOG and blinking signals separation for Human Computer Interaction,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6179, no. 1, pp. 154–161, 2010.
- Robert Krupiński, and Przemysław Mazurek, “Electrooculography signal estimation by using evolution-based technique for computer animation applications,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6374, no. 1, pp. 139–146, 2010.
- Andrew Campbell, Tanzeem Choudhury, Shaohan Hu, Hong Lu, Matthew K. Mukerjee, Mashfiqui Rabbi, and Rajeev D.S. Raizada, “NeuroPhone: Brain-mobile phone interface using a wireless EEG headset,” Proceedings of the 2nd ACM SIGCOMM Workshop on Networking, Systems, and Applications on Mobile Handhelds, MobiHeld '10, Co-located with SIGCOMM 2010, pp. 3–8, 2010.
- Robert Lievesley, Martin Wozencroft, and David Ewins, “The Emotiv EPOC neuroheadset: An inexpensive method of controlling assistive technologies using facial expressions and thoughts?,” Journal of Assistive Technologies, vol. 5, no. 2, pp. 67–82, 2011.
- M. S. Treder, N. M. Schmidt, and B. Blankertz, “Gaze-independent brain-computer interfaces based on covert attention and fe ature attention,” Journal of Neural Engineering, vol. 8, no. 6, 2011.
- Ali Bulent Usakli, Ana Susac, and Serkan Gurkan, “Fast face recognition: Eye blink as a reliable behavioral response,” Neuroscience Letters, vol. 504, no. 1, pp. 49–52, 2011.
- Rafael Barea, Luciano Boquete, Jose Manuel Rodriguez-Ascariz, Sergio Ortega, and Elena López, “Sensory system for implementing a human-computer interface based on electrooculography,” Sensors, vol. 11, no. 1, pp. 310–328, 2011.
- Giulio E. Lancioni, Nirbhay N. Singh, Mark F. O’Reilly, Jeff Sigafoos, Gabriele Ferlisi, Giacomina Ferrarese, Valeria Zullo, Luigi M. Addante, Antonella Spica, and Doretta Oliva, “Technology-aided programs for assisting communication and leisure engagement of persons with amyotrophic lateral sclerosis: Two single-case studies,” Research in Developmental Disabilities, vol. 33, no. 5, pp. 1605–1614, 2012.
- Sulamith Schaeff, Matthias Sebastian Treder, Bastian Venthur, and Benjamin Blankertz, “Exploring motion VEPs for gaze-independent communication,” Journal of Neural Engineering, vol. 9, no. 4, pp. 045006, 2012.