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Computational Intelligence and Neuroscience
Volume 2017 (2017), Article ID 5739301, 9 pages
https://doi.org/10.1155/2017/5739301
Research Article

Eye Tracking Based Control System for Natural Human-Computer Interaction

1College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
2Department of Computer Science, National Chiao Tung University, Hsinchu 300, Taiwan

Correspondence should be addressed to Xiaolong Liu; nc.ude.ufaf@uillx and Shyan-Ming Yuan; wt.ude.utcn@nauyms

Received 23 July 2017; Revised 15 September 2017; Accepted 24 September 2017; Published 18 December 2017

Academic Editor: Irfan Mehmood

Copyright © 2017 Xuebai Zhang 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.

Linked References

  1. Q. Sun, J. Xia, N. Nadarajah, T. Falkmer, J. Foster, and H. Lee, “Assessing drivers’ visual-motor coordination using eye tracking, GNSS and GIS: a spatial turn in driving psychology,” Journal of Spatial Science, vol. 61, no. 2, pp. 299–316, 2016. View at Publisher · View at Google Scholar · View at Scopus
  2. N. Scott, C. Green, and S. Fairley, “Investigation of the use of eye tracking to examine tourism advertising effectiveness,” Current Issues in Tourism, vol. 19, no. 7, pp. 634–642, 2016. View at Publisher · View at Google Scholar · View at Scopus
  3. K. Takemura, K. Takahashi, J. Takamatsu, and T. Ogasawara, “Estimating 3-D point-of-regard in a real environment using a head-mounted eye-tracking system,” IEEE Transactions on Human-Machine Systems, vol. 44, no. 4, pp. 531–536, 2014. View at Publisher · View at Google Scholar · View at Scopus
  4. R. J. K. Jacob and K. S. Karn, “Eye Tracking in human-computer interaction and usability research: ready to deliver the promises,” Minds Eye, vol. 2, no. 3, pp. 573–605, 2003. View at Google Scholar
  5. O. Ferhat and F. Vilarino, “Low cost eye tracking: the current panorama,” Computational Intelligence and Neuroscience, vol. 2016, Article ID 8680541, pp. 1–14, 2016. View at Publisher · View at Google Scholar · View at Scopus
  6. Tobii EyeX, “EyeX,” 2014, http://www.tobii.com/eyex.
  7. GazePoint, “Gazept,” 2013, http://www.gazept.com/category/gp3-eye-tracker.
  8. The eyeTribe, “EyeTribe,” 2014, http://www.theeyetribe.com.
  9. M. A. Eid, N. Giakoumidis, and A. El Saddik, “A novel eye-gaze-controlled wheelchair system for navigating unknown environments: case study with a person with ALS,” IEEE Access, vol. 4, pp. 558–573, 2016. View at Publisher · View at Google Scholar · View at Scopus
  10. L. Sun, Z. Liu, and M.-T. Sun, “Real time gaze estimation with a consumer depth camera,” Information Sciences, vol. 320, pp. 346–360, 2015. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  11. Y.-M. Cheung and Q. Peng, “Eye gaze tracking with a web camera in a desktop environment,” IEEE Transactions on Human-Machine Systems, vol. 45, no. 4, pp. 419–430, 2015. View at Publisher · View at Google Scholar
  12. P. S. Holzman, L. R. Proctor, and D. W. Hughes, “Eye-tracking patterns in schizophrenia,” Science, vol. 181, no. 4095, pp. 179–181, 1973. View at Publisher · View at Google Scholar · View at Scopus
  13. C. Donaghy, M. J. Thurtell, E. P. Pioro, J. M. Gibson, and R. J. Leigh, “Eye movements in amyotrophic lateral sclerosis and its mimics: a review with illustrative cases,” Journal of Neurology, Neurosurgery & Psychiatry, vol. 82, no. 1, pp. 110–116, 2011. View at Publisher · View at Google Scholar · View at Scopus
  14. M. Nehete, M. Lokhande, and K. Ahire, “Design an eye tracking mouse,” International Journal of Advanced Research in Computer and Communication Engineering, vol. 2, no. 2, 2013. View at Google Scholar
  15. E. Missimer and M. Betke, “Blink and wink detection for mouse pointer control,” in Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments (PETRA '10), Samos, Greece, June 2010. View at Publisher · View at Google Scholar · View at Scopus
  16. GitHub, “MasterLomaster/bkb,” 2015, https://github.com/MastaLomaster/bkb.
  17. H. Singh and J. Singh, “Human eye tracking and related issues: a review,” International Journal of Scientific and Research Publication, vol. 2, no. 9, pp. 146–154, 2012. View at Google Scholar
  18. C. A. Chin, A. Barreto, J. G. Cremades, and M. Adjouadi, “Integrated electromyogram and eye-gaze tracking cursor control system for computer users with motor disabilities,” Journal of Rehabilitation Research and Development , vol. 45, no. 1, pp. 161–174, 2008. View at Publisher · View at Google Scholar · View at Scopus
  19. R. G. Lupu, F. Ungureanu, and R. G. Bozomitu, “Mobile embedded system for human computer communication in assistive technology,” in Proceedings of the 2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing (ICCP '12), pp. 209–212, Cluj-Napoca, Romania, September 2012. View at Publisher · View at Google Scholar · View at Scopus
  20. R. G. Lupu, F. Ungureanu, and V. Siriteanu, “Eye tracking mouse for human computer interaction,” in Proceedings of the 4th IEEE International Conference on E-Health and Bioengineering (EHB '13), Iasi, Romania, November 2013. View at Publisher · View at Google Scholar · View at Scopus
  21. S. Wankhede and S. Chhabria, “Controlling Mouse Cursor Using Eye Movement,” International Journal of Application or Innovation in Engineering & Management, no. 36, pp. 1–7, 2013. View at Google Scholar
  22. S. M. A. Meghna, K. L. Kachan, and A. Baviskar, “Head tracking virtual mouse system based on ad boost face detection algorithm,” International Journal on Recent and Innovation Trends in Computing and Communication, vol. 4, no. 4, pp. 921–923, 2016. View at Google Scholar
  23. F. D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Quarterly, vol. 13, no. 3, pp. 319–339, 1989. View at Publisher · View at Google Scholar · View at Scopus
  24. F. D. Davis, R. P. Bagozzi, and P. R. Warshaw, “User acceptance of computer technology: a comparison of two theoretical models,” Management Science, vol. 35, no. 8, pp. 982–1003, 1989. View at Publisher · View at Google Scholar
  25. V. Venkatesh and F. D. Davis, “A theoretical extension of the technology acceptance model: four longitudinal field studies,” Management Science, vol. 46, no. 2, pp. 186–204, 2000. View at Publisher · View at Google Scholar · View at Scopus
  26. T. S. H. Teo, V. K. G. Lim, and R. Y. C. Lai, “Intrinsic and extrinsic motivation in Internet usage,” Omega , vol. 27, no. 1, pp. 25–37, 1999. View at Publisher · View at Google Scholar · View at Scopus
  27. V. Venkatesh, C. Speier, and M. G. Morris, “User acceptance enablers in individual decision making about technology: towards an integrated model,” Decision Sciences, vol. 33, no. 2, pp. 297–316, 2002. View at Publisher · View at Google Scholar · View at Scopus
  28. A. Bangor, K. Philip, and M. James, “Determining what individual SUS scores mean: adding an adjective rating scale,” Journal of Usability Studies, vol. 4, no. 3, pp. 114–123, 2009. View at Google Scholar