Hand gesture authentication using depth camera

Jinghao Zhao, Jiro Tanaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nowadays humans are concerned more about their privacy because traditional text password becomes weaker to defend from various attacks. Meanwhile, somatosensory become popular, which makes gesture authentication become possible. This research tries to use humans dynamic hand gesture to make an authentication system, which should have low limitation and be natural. In this paper, we describe a depth camera based dynamic hand gesture authentication method, and generate a template updating mechanism for the system. In the case of simple gesture, the average accuracy is 91.38%, and in the case of complicated gesture, the average accuracy is 95.21%, with 1.65% false acceptance rate. We have also evaluated the system with template updated mechanism.

Original languageEnglish
Title of host publicationAdvances in Information and Communication Networks - Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 2
EditorsRahul Bhatia, Supriya Kapoor, Kohei Arai
PublisherSpringer-Verlag
Pages641-654
Number of pages14
ISBN (Print)9783030034047
DOIs
Publication statusPublished - 2019 Jan 1
EventFuture of Information and Communication Conference, FICC 2018 - Singapore, Singapore
Duration: 2018 Apr 52018 Apr 6

Publication series

NameAdvances in Intelligent Systems and Computing
Volume887
ISSN (Print)2194-5357

Other

OtherFuture of Information and Communication Conference, FICC 2018
CountrySingapore
CitySingapore
Period18/4/518/4/6

Fingerprint

Authentication
Cameras

Keywords

  • Depth camera
  • Gesture authentication
  • Three-dimensional hand gesture

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Zhao, J., & Tanaka, J. (2019). Hand gesture authentication using depth camera. In R. Bhatia, S. Kapoor, & K. Arai (Eds.), Advances in Information and Communication Networks - Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 2 (pp. 641-654). (Advances in Intelligent Systems and Computing; Vol. 887). Springer-Verlag. https://doi.org/10.1007/978-3-030-03405-4_45

Hand gesture authentication using depth camera. / Zhao, Jinghao; Tanaka, Jiro.

Advances in Information and Communication Networks - Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 2. ed. / Rahul Bhatia; Supriya Kapoor; Kohei Arai. Springer-Verlag, 2019. p. 641-654 (Advances in Intelligent Systems and Computing; Vol. 887).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhao, J & Tanaka, J 2019, Hand gesture authentication using depth camera. in R Bhatia, S Kapoor & K Arai (eds), Advances in Information and Communication Networks - Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 2. Advances in Intelligent Systems and Computing, vol. 887, Springer-Verlag, pp. 641-654, Future of Information and Communication Conference, FICC 2018, Singapore, Singapore, 18/4/5. https://doi.org/10.1007/978-3-030-03405-4_45
Zhao J, Tanaka J. Hand gesture authentication using depth camera. In Bhatia R, Kapoor S, Arai K, editors, Advances in Information and Communication Networks - Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 2. Springer-Verlag. 2019. p. 641-654. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-03405-4_45
Zhao, Jinghao ; Tanaka, Jiro. / Hand gesture authentication using depth camera. Advances in Information and Communication Networks - Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 2. editor / Rahul Bhatia ; Supriya Kapoor ; Kohei Arai. Springer-Verlag, 2019. pp. 641-654 (Advances in Intelligent Systems and Computing).
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