Skip to main content
SpringerLink
Log in

Hand Gesture Recognition Using Gaussian Threshold and Different SVM Kernels

  • Conference paper
  • First Online:
Advances in Computing and Data Sciences (ICACDS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 906))

Included in the following conference series:

  • 893 Accesses

Abstract

Hands play an important part in expressing one’s actions and ideas thus Hand Gesture Recognition (HGR) is very significant in computer vision based gesture recognition for Human Computer Interaction (HCI). In our work, the dataset has been generated for five hand gestures (Close Hand, Open Hand, Victory Hand, Thumb Down and Thumb Up), by making videos of 10 different users doing the gestures with all possible variations resulting in total 16,240 entries. Firstly we have used image processing algorithms like Bilateral Filter, Median Blur and Gaussian Threshold for smoothing the images and then compared the performance of different Support Vector Machine (SVM) kernels i.e. rbfdot, vanilladot, polydot, tanhdot, laplacedot and besseldot, for HGR. The accuracy achieved with different SVM kernels varied from 24.17% to 85.07% with training-testing ratio of 70–30% for 16,240 entries in the dataset. The 10-fold cross validation is performed to prove the robustness of the kernel with SVM.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Manresa, C., Varona, J., Mas, R., Perales, F.J.: ELCVIA Electron. Lett. Comput. Vis. Image Anal. 5(3), 96 (2005)

    Article  Google Scholar 

  2. Ionescu, B., Coquin, D., Lambert, P., Buzuloiu, V.: EURASIP J. Adv. Sig. Proc. 2005(13), 236190 (2005)

    Google Scholar 

  3. Wu, Y., Huang, T.S.: Studies 5, 22 (2001)

    Google Scholar 

  4. Kim, J.H., Kim, D.G., Shin, J.H., Lee, S.W., Hong, K.S.: Fuzzy Syst. Knowl. Discov. 487–487 (2005)

    Google Scholar 

  5. Pławiak, P., Sośnicki, T., Niedźwiecki, M., Tabor, Z., Rzecki, K.: IEEE Trans. Ind. Inform. 12(3), 1104 (2016)

    Google Scholar 

  6. Feng, K.P., Yuan, F.: In: 2013 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA), pp. 936–938. IEEE (2013)

    Google Scholar 

  7. Gupta, S., Jaafar, J., Ahmad, W.F.W.: Proc. Eng. 41, 827 (2012)

    Google Scholar 

  8. Pearson, K.: Lond. Edinb. Dublin Philos. Mag. J. Sci. 2(11), 559 (1901)

    Google Scholar 

  9. Fisher, R.A.: Ann. Hum. Genet. 7(2), 179 (1936)

    Google Scholar 

  10. Thang, P.Q., Dung, N.D., Thuy, N.T.: In: Proceedings of the 2017 International Conference on Machine Learning and Soft Computing, pp. 98–104. ACM (2017)

    Google Scholar 

  11. Singha, J., Laskar, R.H.: IET Comput. Vis. 10(2), 143 (2016)

    Google Scholar 

  12. Ganapathyraju, S.: In: 2013 3rd International Conference on Instrumentation Control and Automation (ICA), pp. 63–67. IEEE (2013)

    Google Scholar 

  13. Temburwar, S., Jaiswal, P., Mande, S., Patil, S.: (2017)

    Google Scholar 

  14. Siby, J., Kader, H., Jose, J.: IJITR 3(2), 1946 (2015)

    Google Scholar 

  15. Osimani, C., Piedra-Fernandez, J.A., Ojeda-Castelo, J.J., Iribarne, L.: Hand posture recognition with standard webcam for natural interaction. In: Rocha, Á., Correia, A.M., Adeli, H., Reis, L.P., Costanzo, S. (eds.) WorldCIST 2017. AISC, vol. 570, pp. 157–166. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-56538-5_17

    Chapter  Google Scholar 

  16. Shukla, J., Dwivedi, A.: In: 2014 Fourth International Conference on Communication Systems and Network Technologies (CSNT), pp. 919–923. IEEE (2014)

    Google Scholar 

  17. Oprisescu, S., Rasche, C., Su, B.: In: 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO), pp. 2748–2751. IEEE (2012)

    Google Scholar 

  18. Igorevich, R.R., Park, P., Min, D., Park, Y., Choi, J., Choi, E.: In: 2010 4th International Conference on Application of Information and Communication Technologies (AICT), pp. 1–4. IEEE (2010)

    Google Scholar 

  19. Yeo, H.S., Lee, B.G., Lim, H.: Multimed. Tools Appl. 74(8), 2687 (2015)

    Google Scholar 

  20. Shrivastava, R.: In: 2013 IEEE 3rd International on Advance Computing Conference (IACC), pp. 947–950. IEEE (2013)

    Google Scholar 

  21. Zivkovic, Z.: In: Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004, vol. 2, pp. 28–31. IEEE (2004)

    Google Scholar 

  22. Zivkovic, Z., Van Der Heijden, F.: Pattern Recog. Lett. 27(7), 773 (2006)

    Google Scholar 

  23. De Berg, M., Cheong, O., Van Kreveld, M., Overmars, M.: Computational Geometry: Introduction. Springer, New York (2008). https://doi.org/10.1007/978-1-4612-1098-6

    Book  MATH  Google Scholar 

  24. Chang, Y.W., Hsieh, C.J., Chang, K.W., Ringgaard, M., Lin, C.J.: J. Mach. Learn. Res. 11(Apr), 1471 (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Chandigarh University, Gharuan, Mohali, Punjab, India

    Shifali Sharma

  2. Thapar Institute of Engineering and Technology, Patiala, Punjab, India

    Shatrughan Modi, Prashant Singh Rana & Jhilik Bhattacharya

Authors
  1. Shifali Sharma
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shatrughan Modi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Prashant Singh Rana
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jhilik Bhattacharya
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shifali Sharma .

Editor information

Editors and Affiliations

  1. University of KwaZulu-Natal, Durban, South Africa

    Mayank Singh

  2. Jaypee University of Information Technology, Solan, India

    P. K. Gupta

  3. Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  4. Institute of Information Theory and Automation, Prague 8, Czech Republic

    Jan Flusser

  5. University of Ottawa, Ottawa, Canada

    Tuncer Ören

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sharma, S., Modi, S., Rana, P.S., Bhattacharya, J. (2018). Hand Gesture Recognition Using Gaussian Threshold and Different SVM Kernels. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2018. Communications in Computer and Information Science, vol 906. Springer, Singapore. https://doi.org/10.1007/978-981-13-1813-9_14

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-1813-9_14

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1812-2

  • Online ISBN: 978-981-13-1813-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation