Skip to main content
Top

2018 | OriginalPaper | Chapter

A New Virtual Keyboard with Finger Gesture Recognition for AR/VR Devices

Authors : Tae-Ho Lee, Hyuk-Jae Lee

Published in: Human-Computer Interaction. Interaction Technologies

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This paper proposes a system that types the virtual keyboard by recognizing hand gestures in a single camera based environment. A virtual keyboard is designed in a multi-tab method of 3 × 4 arrays that are widely used in a mobile environment. In order to make it easy to identify the type-in action and consequently, to increase the type-in speed, this paper proposes a new definition of type-in action as the contact between the thumb and the index finger. To further reduce the input time, the keyboard layout is optimized by efficiently arranging alphabet keys according to the frequency of character appearance. Experimental results show that the proposed type-in action is effective to give commands with a virtual keyboard. Furthermore, the proposed keyboard layout achieves the speed-up by an average of 46.16% compared to the most conventional ‘ABC’ keyboard.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Kato, H., Billinghurst, M., Poupyrev, I., Imamoto, K., Tachibana, K.: Virtual object manipulation on a table-top AR environment. In: IEEE and ACM International Symposium on Augmented Reality, pp. 111–119, October 2000 Kato, H., Billinghurst, M., Poupyrev, I., Imamoto, K., Tachibana, K.: Virtual object manipulation on a table-top AR environment. In: IEEE and ACM International Symposium on Augmented Reality, pp. 111–119, October 2000
2.
go back to reference Lee, T., Hollerer, T.: Handy AR: Markerless inspection of augmented reality objects using fingertip tracking. In: 11th IEEE International Symposium on Wearable Computers, pp. 83–90, October 2007 Lee, T., Hollerer, T.: Handy AR: Markerless inspection of augmented reality objects using fingertip tracking. In: 11th IEEE International Symposium on Wearable Computers, pp. 83–90, October 2007
3.
go back to reference LaViola, J.J.: A survey of hand posture and gesture recognition techniques and technology. Technical report CS-99-11. Brown University, Providence (1999) LaViola, J.J.: A survey of hand posture and gesture recognition techniques and technology. Technical report CS-99-11. Brown University, Providence (1999)
4.
go back to reference Argyros, A.A., Lourakis, M.I.A.: Vision-based interpretation of hand gestures for remote control of a computer mouse. In: Huang, T.S., Sebe, N., Lew, M.S., Pavlović, V., Kölsch, M., Galata, A., Kisačanin, B. (eds.) ECCV 2006. LNCS, vol. 3979, pp. 40–51. Springer, Heidelberg (2006). https://doi.org/10.1007/11754336_5CrossRef Argyros, A.A., Lourakis, M.I.A.: Vision-based interpretation of hand gestures for remote control of a computer mouse. In: Huang, T.S., Sebe, N., Lew, M.S., Pavlović, V., Kölsch, M., Galata, A., Kisačanin, B. (eds.) ECCV 2006. LNCS, vol. 3979, pp. 40–51. Springer, Heidelberg (2006). https://​doi.​org/​10.​1007/​11754336_​5CrossRef
5.
go back to reference Liu, N., Lovell, B.C.: Hand gesture extraction by active shape models. In: Proceedings of the Digital Imaging Computing: Techniques and Applications, pp. 1–6, December 2005 Liu, N., Lovell, B.C.: Hand gesture extraction by active shape models. In: Proceedings of the Digital Imaging Computing: Techniques and Applications, pp. 1–6, December 2005
6.
go back to reference Lockton, R., Fitzgibbon, A.W.: Real-time gesture recognition using deterministic boosting. In: Proceedings of British Machine Vision Conference, vol. 2, pp. 817–826, September 2002 Lockton, R., Fitzgibbon, A.W.: Real-time gesture recognition using deterministic boosting. In: Proceedings of British Machine Vision Conference, vol. 2, pp. 817–826, September 2002
7.
go back to reference Lee, J.W., Lee, K.S., Lee, H.J.: 3D-convolutional neural network for efficient hand gesture recognition. In: International Conference on Electronics, Information, and Communication, January 2017 Lee, J.W., Lee, K.S., Lee, H.J.: 3D-convolutional neural network for efficient hand gesture recognition. In: International Conference on Electronics, Information, and Communication, January 2017
8.
go back to reference Lee, H.S., Lee, D.H., Kim, J.S., Lee, H.J.: Fast hand gesture recognition with CNN and feature matching. In: 30th Workshop on Image Processing and Image Understanding, February 2018 Lee, H.S., Lee, D.H., Kim, J.S., Lee, H.J.: Fast hand gesture recognition with CNN and feature matching. In: 30th Workshop on Image Processing and Image Understanding, February 2018
9.
go back to reference Kolsch, M., Turk, M.: Keyboards without keyboards: a survey of virtual keyboards. Technical report 2002-21. University of California, Santa Barbara, July 2002 Kolsch, M., Turk, M.: Keyboards without keyboards: a survey of virtual keyboards. Technical report 2002-21. University of California, Santa Barbara, July 2002
10.
go back to reference Sarkar, A.R., Sanyal, G., Majumder, S.: Hand gesture recognition systems: a survey. Int. J. Comput. Appl. 71(15), 0975–8887 (2013) Sarkar, A.R., Sanyal, G., Majumder, S.: Hand gesture recognition systems: a survey. Int. J. Comput. Appl. 71(15), 0975–8887 (2013)
11.
go back to reference Qin, S., Zhu, X., Yang, Y.: Real-time hand gesture recognition from depth images using convex shape decomposition method. J. Sig. Process. 74(1), 47–58 (2014)CrossRef Qin, S., Zhu, X., Yang, Y.: Real-time hand gesture recognition from depth images using convex shape decomposition method. J. Sig. Process. 74(1), 47–58 (2014)CrossRef
12.
go back to reference Markussen, A., Jakobsen, M.R., Hornbæk, K.: Vulture: a mid-air word-gesture keyboard. In: Proceedings of CHI, pp. 1073–1082. ACM (2014) Markussen, A., Jakobsen, M.R., Hornbæk, K.: Vulture: a mid-air word-gesture keyboard. In: Proceedings of CHI, pp. 1073–1082. ACM (2014)
14.
go back to reference MacKenzie, I.S., Zhang, S.X.: The design and evaluation of a high-performance soft keyboard. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 25–31, May 1999 MacKenzie, I.S., Zhang, S.X.: The design and evaluation of a high-performance soft keyboard. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 25–31, May 1999
15.
go back to reference Levine, S.H., Trepagnier, G.C., Getschow, C.O., Minneman, S.L.: Multi-character key text entry using computer disambiguation. In: Proceedings of the Tenth Annual Conference on Rehabilitation Engineering, pp. 177–179, June 1987 Levine, S.H., Trepagnier, G.C., Getschow, C.O., Minneman, S.L.: Multi-character key text entry using computer disambiguation. In: Proceedings of the Tenth Annual Conference on Rehabilitation Engineering, pp. 177–179, June 1987
16.
go back to reference Foulds, R.A., Soede, M., Van Balkom, H.: Statistical disambiguation of multi-character keys applied to reduce motor requirements for augmentative and alternative communication. Altern. Augment. Commun. 3, 192–195 (1987)CrossRef Foulds, R.A., Soede, M., Van Balkom, H.: Statistical disambiguation of multi-character keys applied to reduce motor requirements for augmentative and alternative communication. Altern. Augment. Commun. 3, 192–195 (1987)CrossRef
17.
go back to reference Bi, X., Zhai, S.: IJQwerty: what difference does one key change make? Gesture typing keyboard optimization bounded by one key position change from Qwerty. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, p. 49-8, May 2016 Bi, X., Zhai, S.: IJQwerty: what difference does one key change make? Gesture typing keyboard optimization bounded by one key position change from Qwerty. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, p. 49-8, May 2016
18.
go back to reference Arnott, J.L., Javed, M.Y.: Probabilistic character disambiguation for reduced keyboards using small text samples. Augment. Altern. Commun. 8(3), 215–223 (1992)CrossRef Arnott, J.L., Javed, M.Y.: Probabilistic character disambiguation for reduced keyboards using small text samples. Augment. Altern. Commun. 8(3), 215–223 (1992)CrossRef
19.
go back to reference Yin, P.Y., Su, E.P.: Cyber swarm optimization for general keyboard arrangement problem. Int. J. Ind. Ergonomics 41, 43–52 (2011)CrossRef Yin, P.Y., Su, E.P.: Cyber swarm optimization for general keyboard arrangement problem. Int. J. Ind. Ergonomics 41, 43–52 (2011)CrossRef
20.
go back to reference Fitts, P.M.: The information capacity of the human motor system in controlling the amplitude of movement. J. Exp. Psychol. 47, 381–391 (1954)CrossRef Fitts, P.M.: The information capacity of the human motor system in controlling the amplitude of movement. J. Exp. Psychol. 47, 381–391 (1954)CrossRef
21.
go back to reference Smith, B.A., Bi, X., Zhai, S.: Optimizing touchscreen keyboards for gesture typing. In: Proceedings of the CHI 2015 Conference on Human Factors in Computer Systems, pp. 18–23, April 2015 Smith, B.A., Bi, X., Zhai, S.: Optimizing touchscreen keyboards for gesture typing. In: Proceedings of the CHI 2015 Conference on Human Factors in Computer Systems, pp. 18–23, April 2015
22.
go back to reference Zhai, S., Hunter, M., Smith, B.A.: The metropolis keyboard: an exploration of quantitative techniques for virtual keyboard design. In: Proceedings of the UIST 2000 Symposium on User Interface Software and Technology, pp. 119–128, November 2000 Zhai, S., Hunter, M., Smith, B.A.: The metropolis keyboard: an exploration of quantitative techniques for virtual keyboard design. In: Proceedings of the UIST 2000 Symposium on User Interface Software and Technology, pp. 119–128, November 2000
23.
go back to reference Kovac, J., Peer, P., Solina, F.: Human skin color clustering for face detection. In: International Conference on Computer as a Tool, EUROCON 2003, pp. 144–148, September 2003 Kovac, J., Peer, P., Solina, F.: Human skin color clustering for face detection. In: International Conference on Computer as a Tool, EUROCON 2003, pp. 144–148, September 2003
24.
go back to reference Lee, T.H.: A new keyboard typing system with hand gesture recognition. Doctoral dissertation, Seoul National University, February 2018 Lee, T.H.: A new keyboard typing system with hand gesture recognition. Doctoral dissertation, Seoul National University, February 2018
Metadata
Title
A New Virtual Keyboard with Finger Gesture Recognition for AR/VR Devices
Authors
Tae-Ho Lee
Hyuk-Jae Lee
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-91250-9_5