Hand gesture authentication using depth camera

Jinghao Zhao, Jiro Tanaka

研究成果: Conference contribution

抜粋

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.

元の言語English
ホスト出版物のタイトルAdvances in Information and Communication Networks - Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 2
編集者Rahul Bhatia, Supriya Kapoor, Kohei Arai
出版者Springer-Verlag
ページ641-654
ページ数14
ISBN(印刷物)9783030034047
DOI
出版物ステータスPublished - 2019 1 1
イベントFuture of Information and Communication Conference, FICC 2018 - Singapore, Singapore
継続期間: 2018 4 52018 4 6

出版物シリーズ

名前Advances in Intelligent Systems and Computing
887
ISSN(印刷物)2194-5357

Other

OtherFuture of Information and Communication Conference, FICC 2018
Singapore
Singapore
期間18/4/518/4/6

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • これを引用

    Zhao, J., & Tanaka, J. (2019). Hand gesture authentication using depth camera. : R. Bhatia, S. Kapoor, & K. Arai (版), 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; 巻数 887). Springer-Verlag. https://doi.org/10.1007/978-3-030-03405-4_45