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Swipe-Like Text Entry by Head Movements and a Single Row Keyboard

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Image Processing and Communications Challenges 8 (IP&C 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 525))

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Abstract

Swipe typing on haptic devices is gaining increasing attention among developers and popularity among users. By sliding a finger or stylus through consecutive letters, without any form of selection (e.g. pressing), it offers substantial acceleration and ease of writing. In this paper, an adaptation of swipe typing technique for touchless environment operated by head movements is proposed. The head movements enable directional manipulation and the swipe-like typing procedure solves the problem of the key press. Such interface is generally designed for physically challenged people who are unable to use standard input devices (mouse and keyboard).

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References

  1. Bay, H., Ess, A., Tuytelaars, T., Gool, L.V.: Speeded-up robust features (SURF). Comput. Vis. Image Underst. 110(3), 346–359 (2008)

    Article  Google Scholar 

  2. Gizatdinova, Y., Spakov, O., Surakka, V.: Face typing: vision-based perceptual interface for hands-free text entry with a scrollable virtual keyboard. In: IEEE Workshop on Applications of Computer Vision 2012, Breckenridge, CO, USA, pp. 81–87 (2012)

    Google Scholar 

  3. Markussen, A., Jakobsen, M.R., Hornbæk, K.: Vulture: a mid-air word-gesture keyboard. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2014, pp. 1073–1082 (2014)

    Google Scholar 

  4. Morris, T., Chauhan, V.: Facial feature tracking for cursor control. J. Netw. Comput. Appl. 29(2006), 62–80 (2006)

    Article  Google Scholar 

  5. Nowosielski, A.: Evaluation of touchless typing techniques with hand movement. In: Burduk, R., Jackowski, K., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds.) Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015. Advances in Intelligent Systems and Computing, vol. 403, pp. 441–449. Springer, Switzerland (2016)

    Chapter  Google Scholar 

  6. Nowosielski, A.: QWERTY- and 8pen- based touchless text input with hand movement. In: Chmielewski, L.J., Kozera, R., Shin, B.-S., Wojciechowski, K. (eds.) ICCVG 2014. LNCS, vol. 8671, pp. 470–477. Springer, Heidelberg (2014). doi:10.1007/978-3-319-11331-9_56

    Google Scholar 

  7. Rosten, E., Drummond, T.: Fusing points and lines for high performance tracking. In: Tenth IEEE International Conference on Computer Vision (ICCV 2005), vol. 2, pp. 1508–1511 (2005)

    Google Scholar 

  8. Santis, A., Iacoviello, D.: Robust real time eye tracking for computer interface for disabled people. Comput. Methods Programs Biomed. 96(1), 1–11 (2009)

    Article  Google Scholar 

  9. Shi, J., Tomasi, C.: Good features to track. In: Proceedings CVPR 1994, pp. 593–600 (1994)

    Google Scholar 

  10. Shin, Y., Ju, J.S., Kim, E.Y.: Welfare interface implementation using multiple facial features tracking for the disabled people. Pattern Recogn. Lett. 29(2008), 1784–1796 (2008)

    Article  Google Scholar 

  11. Varona, J., Manresa-Yee, C., Perales, F.J.: Hands-free vision-based interface for computer accessibility. J. Netw. Comput. Appl. 31(4), 357–374 (2008)

    Article  Google Scholar 

  12. Viola, P., Jones, M.: Robust real-time face detection. Int. J. Comput. Vision 57(2), 137–154 (2004)

    Article  Google Scholar 

  13. Wierzchowski, M., Nowosielski, A.: Swipe text input for touchless interfaces. In: Burduk, R., Jackowski, K., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds.) Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015. Advances in Intelligent Systems and Computing, vol. 403, pp. 619–629. Springer, Switzerland (2016)

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Żołnierska 52, 71-210, Szczecin, Poland

    Adam Nowosielski

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  1. Adam Nowosielski
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Correspondence to Adam Nowosielski .

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Editors and Affiliations

  1. Institute of Telecommunications and Computer Sciences, UTP University of Science and Technology, Bydgoszcz, Poland

    Ryszard S. Choraś

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Nowosielski, A. (2017). Swipe-Like Text Entry by Head Movements and a Single Row Keyboard. In: Choraś, R. (eds) Image Processing and Communications Challenges 8. IP&C 2016. Advances in Intelligent Systems and Computing, vol 525. Springer, Cham. https://doi.org/10.1007/978-3-319-47274-4_16

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  • DOI: https://doi.org/10.1007/978-3-319-47274-4_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47273-7

  • Online ISBN: 978-3-319-47274-4

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