Skip to main content
SpringerLink
Log in

Sign Language Trainer Using Leap Motion

  • Conference paper
  • First Online:
Advances in Human Factors in Training, Education, and Learning Sciences (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 596))

Included in the following conference series:

Abstract

Learning a sign language can be a long process, but necessary to improve the communication of people, nowadays you need face-to-face courses. To facilitate the learning of Ecuadorian Sign Language and make it more interactive, a software trainer is proposed using the Leap Motion® device. The system is based on an SVM classifier, the parameters were calculated to obtain greater efficiency in the classifier. It is able to predict signs from A to Z including mobile signs, the Ecuadorian typographic alphabet has 30 letters and 5 require movement. The system was trained with a database of 40 people resulting in 1200 signs.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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. Quesada, L., López, G., Guerrero, L.A.: Sign language recognition using leap motion. In: García-Chamizo, J., Fortino, G., Ochoa, S. (eds.) Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information. Lecture Notes in Computer Science, vol. 9454. Springer, Cham (2015)

    Google Scholar 

  2. Shiell, M.M., Champoux, F., Zatorre, R.J.: Enhancement of visual motion detection thresholds in early deaf people. PLoS ONE 9(2), e90498 (2014)

    Article  Google Scholar 

  3. Federacion Nacional de Personas Sordas del Ecuador-FENASEC: Glosario Basico de Lengua de Señas Ecuatoriana (2012)

    Google Scholar 

  4. Henner, J.: Sign Language in Action by Jemina Napier and Lorraine Leeson (2016)

    Google Scholar 

  5. Book Napier, J., Leeson, L.: Sign language in Action, 1st edn. (2016)

    Google Scholar 

  6. Lucas, C. (ed.): The sociolinguistics of the deaf community. Elsevier, Amsterdam (2014)

    Google Scholar 

  7. Garcia, B., Viesca, S.A. Real-Time American Sign Language Recognition with Convolutional Neural Networks

    Google Scholar 

  8. Uddin, M.A., Chowdhury, S.A.: Hand sign language recognition for Bangla alphabet using Support Vector Machine. In: International Conference on Innovations in Science, Engineering and Technology (ICISET). IEEE (2016)

    Google Scholar 

  9. Mapari, R.B., Kharat, G.: American static signs recognition using leap motion sensor. In: Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies. ACM, p. 67, March 2016

    Google Scholar 

  10. Funasaka, M., Ishikawa, Y., Takata, M., Joe, K.: Sign language recognition using leap motion controller. In: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA), p. 263. The Steering Committee of the World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), January (2015)

    Google Scholar 

  11. Ritter, M., Aska, A.: Leap motion as expressive gestural interface. In: ICMC, September 2014

    Google Scholar 

  12. Nandy, A.: Leap Motion for Developers, vol. XV, p. 175. Apress, New York City (2016)

    Book  Google Scholar 

  13. Raziq, N., Latif, S.: Pakistan sign language recognition and translation system using leap motion device. In: Xhafa, F., Barolli, L., Amato, F. (eds.) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2016. Lecture Notes on Data Engineering and Communications Technologies, vol. 1. Springer, Cham (2017)

    Google Scholar 

  14. León, A.A.S., Goovaerts, G., Seisdedos, C.R.V., Van Huffel, S.: Irregular heartbeats detection using tensors and Support Vector Machines. In: Computing in Cardiology Conference (CinC), pp. 1037–1040. IEEE, September (2016)

    Google Scholar 

  15. Chuan, C., Regina, E., Guardino, C.: American sign language recognition using leap motion sensor. In: International Conference on Machine Learning and Applications, pp. 541–544. IEEE Press, New York (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Mechatronic Engineering, Universidad Politécnica Salesiana, Cuenca, Ecuador

    Christian Feicán & John Arévalo

  2. Electronic Engineering, Universidad Politécnica Salesiana, Cuenca, Ecuador

    Julio Cabrera, Edy Ayala, Fernando Guerrero & Eduardo Pinos

Authors
  1. Christian Feicán
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Julio Cabrera
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. John Arévalo
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Edy Ayala
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Fernando Guerrero
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Eduardo Pinos
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Christian Feicán .

Editor information

Editors and Affiliations

  1. TiER1 Performance Solutions, Colorado Springs, Colorado, USA

    Terence Andre

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Feicán, C., Cabrera, J., Arévalo, J., Ayala, E., Guerrero, F., Pinos, E. (2018). Sign Language Trainer Using Leap Motion. In: Andre, T. (eds) Advances in Human Factors in Training, Education, and Learning Sciences. AHFE 2017. Advances in Intelligent Systems and Computing, vol 596. Springer, Cham. https://doi.org/10.1007/978-3-319-60018-5_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-60018-5_25

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60017-8

  • Online ISBN: 978-3-319-60018-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation