Hand gesture authentication using depth camera

Jinghao Zhao*, Jiro Tanaka

*Corresponding author for this work

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

5 Citations (Scopus)


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
Number of pages14
ISBN (Print)9783030034047
Publication statusPublished - 2019
EventFuture of Information and Communication Conference, FICC 2018 - Singapore, Singapore
Duration: 2018 Apr 52018 Apr 6

Publication series

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


OtherFuture of Information and Communication Conference, FICC 2018


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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)


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