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The tool was created to support the auxiliary clinical observation of the eyeballs movements in cases of different states of consciousness. It enables performing objective observation of the patient reaction to a given external light stimuli. The tool analyzes the coordination of the eyeballs movement with the position of the light stimuli. Images are obtained by camera equipped with infrared filters blocking all visible light with the cutoff light length 715 nm.
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Tom
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219--224
Opis fizyczny
Bibliogr. 11 poz., il., wykr.
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autor
autor
autor
autor
autor
autor
- Poznań University of Technology, Department of Computer Engineering, 60-965 Poznań, ul. Piotrowo 3A, Poland, agata.jurkowlaniec@gmail.com
Bibliografia
- [1] S. Michalak and J. Mejnartowicz, Zespoły objawowe w neurologii. Wydawnictwo Lekarskie PZWL, 2006, in Polish.
- [2] J. T. Giacino, S. Ashwal, N. Childs, R. Cranford, B. Jennett, D. I. Katz, J. P. Kelly, J. H. Rosenberg, J. Whyte, R. D. Zafonte, and N. D. Zasler, “The minimally conscious state. Definition and diagnostic criteria,” Neurology, vol. 58, pp. 349-353, 2002.
- [3] D. D. Tresch, F. H. Sims, and E. H. Duthie, et al., “Clinical characteristics of patients in the persistent vegetative state,” Arch. Intern. Med., vol. 151, 1991.
- [4] N. L. Childs and W. N. Mercer, “Brief report: Late improvement in consciousness after post-traumatic vegetative state,” New England Journal of Medicine, vol. 334, no. 1, pp. 24-25, 1996.
- [5] T. Nagamatsu, J. Kamahara, and N. Tanaka, “3D gaze tracking with easy calibration using stereo cameras for robot and human communication,” Robot and Human Interactive Communication, pp. 59-64, 2008.
- [6] H. C. Lee, D. T. Luong, C. W. Cho, E. C. Lee, and K. R. Park, “Gaze tracking system at a distancefor controlling IPTV,” Consumer Electronics, IEEE Transactions, vol. 56, pp. 2577-2583, 2010.
- [7] A. Bochenek and M. Reicher, Anatomia człowieka. Warszawa: PWZL, 1965, vol. VII, in Polish.
- [8] D. H. Yoo, J. H. Kim, B. R. Lee, and M. J. Chung, “Non-contact eye gaz tracking system by mapping of corneal reflections,” in Automatic Face and Gesture Recognition. Proceedings of the Fifth IEEE International Conference. IEEE Computer Society Washington, 2002, pp. 94-99.
- [9] X. Yang, J. Sun, J. Liu, J. Chu, W. Liu, and Y. Gao, “A gaze tracking scheme for eye-based intelligent control.” Intelligent Control and Automation (WCICA), 2010, pp. 50-55.
- [10] W. Sankowski, K. Grabowski, M. Napieralska, M. Zubert, and A. Napieralski, “A knowledge-based approach to the iris segmentation problem,” Image and Vision Computing, vol. 28, pp. 238-245, 2010.
- [11] T. Tan, Z. He, and Z. Sun, “Segmentation of visible wavelength iris images captured At-a-distance and On-the-move,” Image and Vision Computing, vol. 28, 2010.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA0-0053-0021