Movatterモバイル変換

[0]ホーム
URL:

Skip to main content

Advertisement

Springer Nature Link
Log in

Arm Swing Identification Method with Template Update for Long Term Stability

  • Conference paper

Part of the book series:Lecture Notes in Computer Science ((LNIP,volume 4642))

Included in the following conference series:

Abstract

This paper proposes a novel method for biometric identification, based on arm swing motions with a template update in order to improve long term stability. In our previous work, we studied arm swing identification and proposed a basic method to realize a personal identification function on mobile terminals. The method compares the acceleration signals of arm swing motion as individual characteristics, with the tolerant similarity measurement between two arm swing motions via DP-matching, which enables users to unlock a mobile terminal simply by swinging it. However, the method has a problem with long term stability. In other words, the arm swing motions of identical individuals tend to fluctuate among every trial. Furthermore, the difference between the enrolled and trial motions increases over time. Therefore in this paper, we propose an update approach to the enrollment template for DP-matching to solve this problem. We employ an efficient adaptive update method using a minimum route determination algorithm in DP-matching. Identification experiments involving 12 persons over 6 weeks confirm the proposed method achieves a superior equal error rate of 4.0% than the conventional method, which has an equal error rate of 14.7%.

Similar content being viewed by others

Keywords

References

  1. Kato, T., Kawai, H.: A text-prompted speaker verification system implemented on a cellular phone and a mobile terminal. In: Proc. of ESCA ISCA, pp. 945–948 (2006)

    Google Scholar 

  2. Hangai, S., Yamanaka, S., Hamamoto, T.: On-line signature verification based on altitude and direction of pen movement. In: Proc. of IEEE ICME, vol. 1, pp. 489–492 (2000)

    Google Scholar 

  3. Patel, S.N., Pierce, J.S., Abowd, G.D.: A Gesture-based Authentication Scheme for Untrusted Public Terminal. In: Proc. of UIST, pp. 157–160 (2004)

    Google Scholar 

  4. Okumura, F., Kubota, A., Hatori, Y., Matsuo, K., Hashimoto, M., Koike, A.: A study on biometric identification based on arm sweep action with acceleration sensor. In: Proc. of IEEE ISPACS, pp. 219–222 (2006)

    Google Scholar 

  5. Uludag, U., Ross, A., Jain, A.K.: Biometric template selection and update: case study in fingerprints. Pattern Recognition 37(7), 1533–1542 (2004)

    Article  Google Scholar 

  6. Mansfield, A.J., Wayman, J.L.: Best practices in testing and reporting performance of biometric devices version 2.01. NPL Report CMSC 14/02 (August 2002)

    Google Scholar 

  7. Shahraray, B., Anderson, D.J.: Optimal estimation of contour properties by cross-validated regularization. IEEE Trans. on PAMI 11(6), 600–610 (1989)

    Google Scholar 

  8. Krzanowski, W.J.: Cross-validation in principal component analysis. Biometrics 43, 575–584 (1987)

    Article MathSciNet  Google Scholar 

  9. Jain, A.K., Bolle, R., Pankanti, S.: Biometrics: Personal identification in network society. Kluwer Academic Publishers, Dordrecht (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. KDDI R&D Laboratories Inc., Ohara 2-1-15, Fujimino-shi, Saitama, 356-8502, Japan

    Kenji Matsuo, Masayuki Hashimoto & Shigeyuki Sakazawa

  2. Tokyo Institute of Technology, Nagatsuta 4259, Midori-ku, Yokohama-shi, 226-8502, Japan

    Fuminori Okumura & Yoshinori Hatori

Authors
  1. Kenji Matsuo

    You can also search for this author inPubMed Google Scholar

  2. Fuminori Okumura

    You can also search for this author inPubMed Google Scholar

  3. Masayuki Hashimoto

    You can also search for this author inPubMed Google Scholar

  4. Shigeyuki Sakazawa

    You can also search for this author inPubMed Google Scholar

  5. Yoshinori Hatori

    You can also search for this author inPubMed Google Scholar

Editor information

Seong-Whan Lee Stan Z. Li

Rights and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Matsuo, K., Okumura, F., Hashimoto, M., Sakazawa, S., Hatori, Y. (2007). Arm Swing Identification Method with Template Update for Long Term Stability. In: Lee, SW., Li, S.Z. (eds) Advances in Biometrics. ICB 2007. Lecture Notes in Computer Science, vol 4642. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74549-5_23

Download citation

Publish with us

Societies and partnerships

[8]ページ先頭
©2009-2025 Movatter.jp