Skip to main content

A Capacitive Flexible Tactile Sensor

  • Conference paper
  • First Online:
Human Centered Computing (HCC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12634))

Included in the following conference series:

  • 935 Accesses

Abstract

In this paper, a capacitive flexible tactile sensor was designed to measure the pressure of objects based on MEMS technology. This sensor is a structure of a 4 × 4 array, with metal Ag as the capacitive electrode, which forms the tactile sensing unit of the sensor. The structure of capacitive flexible tactile sensor was designed and an experimental platform was established to test the performance. The tests show that when the thickness of the intermediate layer is 2 mm and the density is medium, the sensor’s sensitivity is the best while the time of both the response and the rebound is fast.

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

Access this chapter

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 EPUB and 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

Institutional subscriptions

References

  1. XiaoHui, H., et al.: A flexible capacitive tactile sensor array with micro structure for robotic application. Sci. China Inf. Sci. 57(12), 1–6 (2014). https://doi.org/10.1007/s11432-014-5191-8

    Article  Google Scholar 

  2. Qiu, J., Guo, X., Chu, R., et al.: Rapid-response, low detection limit, and high-sensitivity capacitive flexible tactile sensor based on three-dimensional porous dielectric layer for wearable electronic skin. ACS Appl. Mater. Interfaces. 11(43), 40716–40725 (2019)

    Article  Google Scholar 

  3. Fu, Y.M., Chou, M.C., Cheng, Y.T., et al.: An inkjet printed piezoresistive back-to-back graphene tactile sensor for endosurgical palpation applications. In: 2017 IEEE 30th International Conference on Micro Electro Mechanical Systems (MEMS), pp. 612–615. IEEE (2017)

    Google Scholar 

  4. Liu, W., Yu, P., Gu, C., et al.: Fingertip piezoelectric tactile sensor array for roughness encoding under varying scanning velocity. IEEE Sens. J. 17(21), 6867–6879 (2017)

    Article  Google Scholar 

  5. Sun, C.T., Lin, Y.C., Hsieh, C.J., et al.: A linear-response CMOS-MEMS capacitive tactile sensor. In: SENSORS, 2012 IEEE, pp. 1–4. IEEE (2012)

    Google Scholar 

  6. Jiang, Q., Xiang, L.: Design and experimental research on small-structures of tactile sensor array unit based on fiber Bragg grating. IEEE Sens. J. 17(7), 2048–2054 (2017)

    Article  Google Scholar 

  7. Volkova, T.I., Böhm, V., Naletova, V.A., et al.: A ferrofluid based artificial tactile sensor with magnetic field control. J. Magn. Magn. Mater. 431, 277–280 (2017)

    Article  Google Scholar 

  8. Zou, L., Ge, C., Wang, Z.J., et al.: Novel tactile sensor technology and smart tactile sensing systems: a review. Sensors 17(11), 2653 (2017)

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported in part by Science Foundation of the department of education of Jiangxi province (GJJ180938, GJJ170987, GJJ180936). Open project of Shanxi Key Laboratory of Intelligent Robot (SKLIRKF2017004).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bin Xu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yuan, D., Shu, H., Bao, Y., Xu, B., Wang, H. (2021). A Capacitive Flexible Tactile Sensor. In: Zu, Q., Tang, Y., Mladenović, V. (eds) Human Centered Computing. HCC 2020. Lecture Notes in Computer Science(), vol 12634. Springer, Cham. https://doi.org/10.1007/978-3-030-70626-5_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-70626-5_28

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-70625-8

  • Online ISBN: 978-3-030-70626-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics