Skip to main content

A Robotic Hand for Arabic Sign Language Teaching and Translation

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1038))

Abstract

Deaf and deaf-blind individuals face many challenges in communicating with others and understanding the world surrounding them. To overcome their isolation, deaf persons use sign language to converse with others. On the other hand, deaf-blind persons are unable to see so they rely on tactile sign language by touching other persons’ hands while they perform the gestures in order to read sign language. Deaf and deaf-blind people experience more difficulties connecting with their local community when other individuals are not familiar with sign language or are not comfortable with the tactile sign language. Moreover, learning sign language is fundamental to deaf people and those who live with deaf people, as this will be a mean for them to communicate with their environment. Teaching sign language with 2D tools such as videos and pictures are not as effective as teaching it with 3D tools, which offer full demonstration of the sign language gestures. In this paper, we present the design and construction of a robotic hand that translates written Arabic texts into Arabic sign language alphabet. The aim of this robotic hand is to serve as an assistive technology device that acts as a mean of communication between the deaf or deaf-blind person and the world. In addition, it can be used as a tool to aid in teaching sign language for deaf people and those who want to learn sign language. The robotic hand was tested through three experimental studies on three different types of volunteers, which include non-deaf/non-deaf-blind, deaf and deaf-blind individuals. The results were very promising; the success ratios for gestures recognition were 86%, 81%, and 67%, respectively.

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   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
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

References

  1. Deafness and hearing loss, World Health Organization (2016). http://www.who.int/mediacentre/factsheets/fs300/en/. Accessed 14 Oct 2018

  2. Tolba, M.F., Elons, A.S.: Recent developments in sign language recognition systems. In: 8th International Conference on Computer Engineering and Systems (ICCES), Cairo (2013)

    Google Scholar 

  3. Sadek, M.I., Mikhael, M.N., Mansour, H.A.: A new approach for designing a smart glove for Arabic Sign Language Recognition system based on the statistical analysis of the Sign Language. In: 2017 34th National Radio Science Conference (NRSC), Alexandria, pp. 380–388 (2017)

    Google Scholar 

  4. Abdel-Fattah, M.: Arabic sign language: a perspective. J. Deaf Stud. Deaf Educ. 10, 212–221 (2005)

    Article  Google Scholar 

  5. Laenger, C., Peel, H.: Further development and tests of an artificial hand for communication with deaf-blind people (1978)

    Google Scholar 

  6. Meade, A.: Dexter–a finger-spelling hand for the deaf-blind. In: IEEE International Conference on Robotics and Automation Proceedings, vol. 4, pp. 1192–1195, March 1987

    Google Scholar 

  7. Jaffe, D.: Dexter II: the next generation mechanical fingerspelling hand for deaf-blind persons. In: 12th Annual RESNA Conference, New Orleans, LA (1989)

    Google Scholar 

  8. Jaffe, D.L.: RALPH: a fourth generation fingerspelling hand. Rehabilitation Research and Development Center, Stanford University (1994)

    Google Scholar 

  9. Bulgarelli, A., Toscana, G., Russo, L., Farulla, G., Indaco, M., Bona, B.: A low-cost open source 3D-printable dexterous anthropomorphic robotic hand with a parallel spherical joint wrist for sign languages reproduction. Int. J. Adv. Robot. Syst. 13(3) (2016)

    Article  Google Scholar 

  10. Fierens, G., Huys, S., Slaets, J.: Humanoid robot for sign language. University of Antwerp (2015)

    Google Scholar 

  11. Maliki, R., Alhaidar, D., Attallah, K., Alsalem, S., Morris, M., Tosunoglu, S.: Robotic hands to teach sign language. In: 30th Florida Conference on Recent Advances in Robotics, Florida (2017)

    Google Scholar 

  12. InMoov open-source 3D printed life-size robot. http://inmoov.fr. Accessed 17 Nov 2017

  13. Uluer, P., Akalın, N., Köse, H.: A new robotic platform for sign language tutoring. Int. J. Soc. Robot. 7(5), 571–585 (2015)

    Article  Google Scholar 

  14. Vstone Co., Ltd. https://www.vstone.co.jp/english/index.html. Accessed 17 Nov 2017

  15. Russo, L., Farulla, G., Pianu, D., Salgarella, A., Controzzi, M., Cipriani, C., Oddo, C., Geraci, C., Rosa, S., Indaco, M.: PARLOMA – a novel human-robot interaction system for deaf-blind remote communication. Int. J. Adv. Rob. Syst. 12(5), 57 (2015)

    Article  Google Scholar 

  16. Carrozza, M., Cappiello, G., Micera, S., Edin, B., Beccai, L., Cipriani, C.: Design of a cybernetic hand for perception and action. Biol. Cybern. 95(6), 629–644 (2006)

    Article  Google Scholar 

  17. Al-Qahtani, S.: The Arabic Dictionary of Gestures for the Deaf, 1st edn. King Fahd National Library, Riyadh (2006)

    Google Scholar 

  18. Hodge, S., Hubbard, J.: Anatomy for Litigators. ALI ABA, Philadelphia (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Maha Alrabiah .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Alrabiah, M., AlMuneef, H., AlMarri, S., AlShammari, E., Alsunaid, F. (2020). A Robotic Hand for Arabic Sign Language Teaching and Translation. In: Bi, Y., Bhatia, R., Kapoor, S. (eds) Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and Computing, vol 1038. Springer, Cham. https://doi.org/10.1007/978-3-030-29513-4_63

Download citation

Publish with us

Policies and ethics