Skip to main content

A Novel Force Sensitive Tablet for Handwriting Information Acquisition

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3338))

Abstract

At present, many researches have been done on the handwriting using static or dynamic signals, but no tools could acquire all handwriting information including kinematics and kinetics of pen-point, including strokes of pen-up and pen-down, velocity and acceleration of pen-tip, three dimension forces of pen-plate contacting point and shape of character etc.. We have been designing a force sensitive tablet (F-Tablet), which is capable of capturing both the dynamic hand writing forces information and the static trajectory of the writing pen-tip. With the core part of the multi-dimension force/torque sensor, the F-Tablet can capture the two torques and three forces directly and simultaneously. With the specially designed structure, some other dynamic and static information, such as stroke, velocity, acceleration etc., can also be calculated from above data. Pen-like tools is used to write on the tablet, that means no ink is needed and no special designing is necessary. The tablet can also be used as an input device for computers or as a development tool for children to improve handwriting skills. As more information about the writers handwriting can be got by F-Tablet, it may be a choice of signature identification/verification input device for person recongnition.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. http://www.cubs.buffalo.edu/about.shtml;

  2. Plamondon, R., Srihari, S.N.: On-line and off-line handwriting recognition: a comprehensive survey. IEEE Trans. on Pattern Analysis and Machine and Machine Intelligence 22, 63–85 (2000)

    Article  Google Scholar 

  3. Baron, R.: R Plamondon, Acceleration Measurement with an Instrumented Pen for Signature Verification and Handwriting Analysis. IEEE Transactions on Instrumentation and Measurement 38, 1132–1138 (1989)

    Article  MathSciNet  Google Scholar 

  4. Martinez, J., de, J., Lopez, J., Luna Rosas, F.: A low-cost system for signature recognition. In: 42nd Midwest Symposium on Circuits and Systems, vol. 1, pp. 101–104 (1999)

    Google Scholar 

  5. Martens, R., Claesen, L.: Incorporating local consistency information into the online signature verification process. International Journal on Document Analysis and Recognition 1, 110–115 (1998)

    Article  Google Scholar 

  6. Tanabe, K., Yoshihara, M., Kameya, H., Mori, S.: Automatic Signature Verification Based on the Dynamic Feature of Pressure. In: Proceedings of Sixth International Conference on Document Analysis and Recognition, pp. 1045–1049 (2001)

    Google Scholar 

  7. Fang, P., Wu, Z., Meng, M.: A Novel Tablet for On-Line Handwriting Signal Capture. In: The 5th World Congress on Intelligent Control and Automation, June 20-25 (2004)

    Google Scholar 

  8. Bobbert, M.F., Schamhardt, H.C.: Accuracy of determining the point of force application with piezoelectric force plates. J. Biomechan. 23(7), 705–710 (1990)

    Article  Google Scholar 

  9. Schmiedmayer, H.-B., Kastner, J.: Parameters influencing the accuracy of the point of force application determined with piezoelectric force plates. Journal of Biomechanics 32, 1237–1242 (1999)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wu, Z., Fang, P., Meng, M., Shen, F. (2004). A Novel Force Sensitive Tablet for Handwriting Information Acquisition. In: Li, S.Z., Lai, J., Tan, T., Feng, G., Wang, Y. (eds) Advances in Biometric Person Authentication. SINOBIOMETRICS 2004. Lecture Notes in Computer Science, vol 3338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30548-4_75

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30548-4_75

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24029-7

  • Online ISBN: 978-3-540-30548-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics