Robust Eye-Based Dwell-Free Typing

References

• Adjouadi, M., Sesin, A., Ayala, M., & Cabrerizo, M. (2004). Remote eye gaze tracking system as a computer interface for persons with severe motor disability. Springer Berlin Heidelberg.
   Google Scholar
• Alnajar, F., Gevers, T., Valenti, R., & Ghebreab, S. (2013). Calibration-free gaze estimation using human gaze patterns. In 2013 IEEE International Conference on Computer Vision (ICCV) (pp. 137–144). Sydney, NSW: IEEE.
   Google Scholar
• Biswas, P., & Langdon, P. (2015). Multimodal intelligent eye-gaze tracking system. International Journal of Human–Computer Interaction, 31(4), 277–294.
   Web of Science ®Google Scholar
• Caligari, M., Godi, M., Guglielmetti, S., Franchignoni, F., & Nardone, A. (2013). Eye tracking communication devices in amyotrophic lateral sclerosis: Impact on disability and quality of life. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, 14(7–8), 546–552.
   PubMed Web of Science ®Google Scholar
• Chen, J., & Ji, Q. (2011). Probabilistic gaze estimation without active personal calibration. In 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 609–616). Providence, RI: IEEE.
   Google Scholar
• Chen, J., & Ji, Q. (2015). A probabilistic approach to online eye gaze tracking without explicit personal calibration. In IEEE Transactions on Image Processing, 24(3), 1076–1086.
   PubMed Web of Science ®Google Scholar
• Davies, M. (2011). Word frequency data from the corpus of contemporary American English (coca). Retrieved from http://www.wordfrequency.info/
   Google Scholar
• Donegan, M., Morris, J. D., Corno, F., Signorile, I., Chió, A., Pasian, V., & Holmqvist, E. (2009). Understanding users and their needs. Universal Access in the Information Society, 8(4), 259–275.
   Web of Science ®Google Scholar
• Eraslan, S., Yesilada, Y., & Harper, S. (2016). Eye tracking scanpath analysis on web pages: How many users? In Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications (pp. 103–110). Charleston, SC: ACM.
   Google Scholar
• Guan, C., Thulasidas, M., & Wu, J. (2004). High performance p300 speller for brain-computer interface. In 2004 IEEE International Workshop on Biomedical Circuits and Systems (pp. S3–S5). Singapore: IEEE.
   Google Scholar
• Hansen, D. W., Hansen, J. P., Nielsen, M., Johansen, A. S., & Stegmann, M. B. (2002). Eye typing using Markov and active appearance models. In Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision, 2002 (WACV 2002) (pp. 132–136). Orlando, FL: IEEE.
   Google Scholar
• Hansen, J. P., Tørning, K., Johansen, A. S., Itoh, K., & Aoki, H. (2004). Gaze typing compared with input by head and hand. In Proceedings of the 2004 Symposium on Eye Tracking Research & Applications (pp. 131–138). San Antonio, TX.
   Google Scholar
• Hoppe, S., Löchtefeld, M., & Daiber, F. (2013). Eype–using eye-traces for eye-typing. In Workshop on Grand Challenges in Text Entry (chi 2013). Paris, France.
   Google Scholar
• Huey, E. B. (1908). The psychology and pedagogy of reading. Bristol, UK: Thoemmes Press.
   Google Scholar
• Jacob, R., & Karn, K. S. (2003). Eye tracking in human–computer interaction and usability research: Ready to deliver the promises. Mind, 2(3), 4.
   Google Scholar
• Jacob, R. J. (1990). What you look at is what you get: Eye movement-based interaction techniques. In Proceedings of the Sigchi Conference on Human Factors in Computing Systems (pp. 11–18). Seattle, WA.
   Google Scholar
• Jacob, R. J. (1991). The use of eye movements in human–computer interaction techniques: What you look at is what you get. ACM Transactions on Information Systems (TOIS), 9(2), 152–169.
   Web of Science ®Google Scholar
• Jacob, R. J. (1995). Eye tracking in advanced interface design. In W. Barfield & T. A. Furness (Eds.), Virtual environments and advanced interface design (pp. 258–288). Oxford, UK: Oxford University Press.
   Google Scholar
• Just, M. A., & Carpenter, P. A. (1976). Eye fixations and cognitive processes. Cognitive Psychology, 8(4), 441–480.
   Web of Science ®Google Scholar
• Kocejko, T., Bujnowski, A., & Wtorek, J. (2009). Eye-mouse for disabled. In Z. S. Hippe & J. L. Kulikowski (Eds.), Human–computer systems interaction (pp. 109–122). Springer Berlin Heidelberg.
   Google Scholar
• Kotani, K., Yamaguchi, Y., Asao, T., & Horii, K. (2010). Design of eye-typing interface using saccadic latency of eye movement. International Journal of Human–Computer Interaction, 26(4), 361–376.
   Web of Science ®Google Scholar
• Kristensson, P. O., & Vertanen, K. (2012). The potential of dwell-free eye-typing for fast assistive gaze communication. In Proceedings of the Symposium on Eye Tracking Research and Applications (pp. 241–244). Santa Barbara, CA.
   Google Scholar
• Kristensson, P.-O., & Zhai, S. (2004). Shark 2: A large vocabulary shorthand writing system for pen-based computers. In Proceedings of the 17th Annual ACM Symposium on User Interface Software and Technology (pp. 43–52). Santa Fe, NM: ACM.
   Google Scholar
• Kumar, M. (2007). Gaze-enhanced user interface design ( Unpublished doctoral dissertation). Stanford University, Stanford, CA.
   Google Scholar
• Liu, Y., Zhang, C., Lee, C., Lee, B.-S., & Chen, A. Q. (2015). Gazetry: Swipe text typing using gaze. In Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction (pp. 192–196). Melbourne, Australia.
   Google Scholar
• MacKenzie, I. S., & Zhang, X. (2008). Eye typing using word and letter prediction and a fixation algorithm. In Proceedings of the 2008 Symposium on Eye Tracking Research & Applications (pp. 55–58). Savannah, GA.
   Google Scholar
• Majaranta, P., Ahola, U.-K., & Špakov, O. (2009). Fast gaze typing with an adjustable dwell time. In Proceedings of the Sigchi Conference on Human Factors in Computing Systems (pp. 357–360). Boston, MA.
   Google Scholar
• Majaranta, P., Aoki, H., Donegan, M., Hansen, D. W., & Hansen, J. P. (2011). Gaze interaction and applications of eye tracking: Advances in assistive technologies (1st ed.). Hershey, PA: Information Science Reference - Imprint of IGI Publishing.
   Google Scholar
• Majaranta, P., MacKenzie, I. S., Aula, A., & Räihä, K.-J. (2003). Auditory and visual feedback during eye typing. In Chi’03 Extended Abstracts on Human Factors in Computing Systems (pp. 766–767). Fort Lauderdale, FL.
   Google Scholar
• Majaranta, P., & Räihä, K.-J. (2002). Twenty years of eye typing: Systems and design issues. In Proceedings of the 2002 Symposium on Eye Tracking Research & Applications (pp. 15–22), New York, NY: ACM. doi:10.1145/507072.507076
   Google Scholar
• Monty, R. A., & Senders, J. W. (1976). Eye movements and psychological processes (Tech. Rep.). DTIC Document. Hillsdale, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Murata, A. (2006). Eye-gaze input versus mouse: Cursor control as a function of age. International Journal of Human–Computer Interaction, 21(1), 1–14.
   Web of Science ®Google Scholar
• Navarro, G. (2001). A guided tour to approximate string matching. ACM Computing Surveys (CSUR), 33(1), 31–88.
   Web of Science ®Google Scholar
• Ohno, T. (2007). Eyeprint: Using passive eye trace from reading to enhance document access and comprehension. International Journal of Human–Computer Interaction, 23(1–2), 71–94.
   Web of Science ®Google Scholar
• Pedrosa, D., Pimentel, M. D. G., & Truong, K. N. (2015). Filteryedping: A dwell-free eye typing technique. In Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (pp. 303–306). Seoul, Korea: ACM.
   Google Scholar
• Pedrosa, D., Pimentel, M. D. G., Wright, A., & Truong, K. N. (2015). Filteryedping: Design challenges and user performance of dwell-free eye typing. ACM Transactions on Accessible Computing (TACCESS), 6(1), 3.
   Google Scholar
• Räihä, K.-J., & Ovaska, S. (2012). An exploratory study of eye typing fundamentals: Dwell time, text entry rate, errors, and workload. In Proceedings of the Sigchi Conference on Human Factors in Computing Systems (pp. 3001–3010). Austin, TX.
   Google Scholar
• Rayner, K. (1977). Visual attention in reading: Eye movements reflect cognitive processes. Memory & Cognition, 5(4), 443–448.
   PubMed Web of Science ®Google Scholar
• Rayner, K. (1998). Eye movements in reading and information processing: 20 years of research. Psychological Bulletin, 124(3), 372–422.
   PubMed Web of Science ®Google Scholar
• Salvucci, D. D. (1999). Inferring intent in eye-based interfaces: Tracing eye movements with process models. In Proceedings of the Sigchi Conference on Human Factors in Computing Systems (pp. 254–261). Pittsburgh, PA.
   Google Scholar
• San Agustin, J., Skovsgaard, H., Hansen, J. P., & Hansen, D. W. (2009). Low-cost gaze interaction: Ready to deliver the promises. In Chi’09 Extended Abstracts on Human Factors in Computing Systems (pp. 4453–4458). Boston, MA.
   Google Scholar
• Sarcar, S., Panwar, P., & Chakraborty, T. (2013). Eyek: An efficient dwell-free eye gaze-based text entry system. In Proceedings of the 11th Asia Pacific Conference on Computer Human Interaction (pp. 215–220). Bangalore, India.
   Google Scholar
• Spataro, R., Ciriacono, M., Manno, C., & La Bella, V. (2014). The eye-tracking computer device for communication in amyotrophic lateral sclerosis. Acta Neurologica Scandinavica, 130(1), 40–45.
   PubMed Web of Science ®Google Scholar
• Su, M.-C., Wang, K.-C., & Chen, G.-D. (2006). An eye tracking system and its application in aids for people with severe disabilities. Biomedical Engineering: Applications, Basis and Communications, 18(6), 319–327.
   Web of Science ®Google Scholar
• Sugano, Y., Matsushita, Y., & Sato, Y. (2010). Calibration-free gaze sensing using saliency maps. In 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 2667–2674). San Francisco, CA: IEEE.
   Google Scholar
• Trnka, K., McCaw, J., Yarrington, D., McCoy, K. F., & Pennington, C. (2008). Word prediction and communication rate in AAC. In Telehealth and Assistive Technologies (Telehealth/AT) (pp. 19–24). Baltimore, MD.
   Google Scholar
• Underwood, G. (2005). Cognitive processes in eye guidance. New York: Oxford University Press.
   Google Scholar
• Urbina, M. H., & Huckauf, A. (2010). Alternatives to single character entry and dwell time selection on eye typing. In Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications (pp. 315–322). Austin, TX.
   Google Scholar
• Vadillo, M. A., Street, C. N., Beesley, T., & Shanks, D. R. (2015). A simple algorithm for the offline recalibration of eye-tracking data through best-fitting linear transformation. Behavior Research Methods, 47(4), 1365–1376.
   PubMed Web of Science ®Google Scholar
• Ward, D. J., & MacKay, D. J. (2002). Fast hands-free writing by gaze direction. arXiv preprint cs/0204030.
   Google Scholar
• Wobbrock, J. O., Myers, B. A., & Kembel, J. A. (2003). Edgewrite: A stylus-based text entry method designed for high accuracy and stability of motion. In Proceedings of the 16th Annual ACM Symposium on User Interface Software and Technology (pp. 61–70). Vancouver, British Columbia.
   Google Scholar
• Wolfe, B., & Eichmann, D. (1997). A neural network approach to tracking eye position. International Journal of Human–Computer Interaction, 9(1), 59–79.
   Web of Science ®Google Scholar
• Zander, T. O., Gaertner, M., Kothe, C., & Vilimek, R. (2010). Combining eye gaze input with a brain–computer interface for touchless human–computer interaction. International Journal of Human–Computer Interaction, 27(1), 38–51.
   Web of Science ®Google Scholar
• Zhai, S., & Kristensson, P.-O. (2003). Shorthand writing on stylus keyboard. In Proceedings of the Sigchi Conference on Human Factors in Computing Systems (pp. 97–104). Fort Lauderdale, FL.
   Google Scholar
• Zhang, Y., & Hornof, A. J. (2014). Easy post-hoc spatial recalibration of eye tracking data. In Proceedings of the Symposium on Eye Tracking Research and Applications (pp. 95–98). Safety Harbor, FL.
   Google Scholar