Review

Arabic Sign Language Recognition: A Review

Volume: 4 Number: 1 June 30, 2021
EN TR

Arabic Sign Language Recognition: A Review

Abstract

Sign language is the language used by deaf people to communicate with one another and with common people. An interpreter is typically required when an ordinary person wishes to communicate with a deaf person. Visual sign language recognition is a dynamic area of research in computer vision. A functional sign language recognition (SLR) system can provide an opportunity for a deaf person to communicate with non-signed persons without the need for an interpreter. It can be used to produce speech or text that makes the mute more autonomous. Arabic Sign Language Recognition (ArSLR) is an important area of study. It helps to eliminate barriers between the deaf and the community. This paper includes a review of the Arabic Sign Language Recognition System (ArSLRS). Present challenges and future research opportunities are also illustrated.

Keywords

References

  1. [1] M. Abdel-Fattah, "Arabic Sign Language: A Perspective", Journal of Deaf Studies and Deaf Education, vol. 10, no. 2, pp. 212-221, 2005. Available: 10.1093/deafed/eni007.
  2. [2] Al-Ahdal, M. Ebrahim, and Md Tahir Nooritawati, Review in sign language recognition systems. In 2012 IEEE Symposium on Computers & Informatics (ISCI), pp. 52-57. IEEE, 2012.
  3. [3] O. Al-Jarrah and A. Halawani, "Recognition of gestures in Arabic sign language using neuro-fuzzy systems", Artificial Intelligence, vol. 133, no. 1-2, pp. 117-138, 2001. Available: 10.1016/s0004-3702(01)00141-2.
  4. [4] A., Alnahhas, B., Alkhatib, N., Al-Boukaee, N., Alhakim, O., Alzabibi and N., Ajalyakeen , "Deep Learning based Dynamic Hand Gesture Recognition with Leap Motion Controller", International Journal of Advanced Trends in Computer Science and Engineering, vol. 9, no. 5, pp. 7309-7315, 2020. Available: 10.30534/ijatcse/2020/61952020.
  5. [5] M. AL-Rousan, K. Assaleh and A. Tala’a, "Video-based signer-independent Arabic sign language recognition using hidden Markov models", Applied Soft Computing, vol. 9, no. 3, pp. 990-999, 2009. Available: 10.1016/j.asoc.2009.01.002.
  6. [6] A.S., Al-Shamayleh, R., Ahmad, N., Jomhari, and M.A., Abushariah, “AUTOMATIC ARABIC SIGN LANGUAGE RECOGNITION: A REVIEW, TAXONOMY, OPEN CHALLENGES, RESEARCH ROADMAP AND FUTURE DIRECTIONS”, Malaysian Journal of Computer Science, vol. 33, no.4, pp.306-343, 2020.
  7. [7] R., Alzohairi, R., Alghonaim, W., Alshehri, S., Aloqeely, M., Alzaidan and O., Bchir, “Image based Arabic sign language recognition system”, International Journal of Advanced Computer Science and Applications (IJACSA), vol. 9, no. 3, 2018.
  8. [8] K., Assaleh, T., Shanableh, M., Fanaswala, F., Amin and H., Bajaj, “Continuous Arabic sign language recognition in user dependent mode”, 2010.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Review

Publication Date

June 30, 2021

Submission Date

February 12, 2021

Acceptance Date

May 3, 2021

Published in Issue

Year 2021 Volume: 4 Number: 1

APA
Alselwi, G. A. A. A., & Taşcı, T. (2021). Arabic Sign Language Recognition: A Review. Bayburt Üniversitesi Fen Bilimleri Dergisi, 4(1), 73-79. https://izlik.org/JA79HB63AD
AMA
1.Alselwi GAAA, Taşcı T. Arabic Sign Language Recognition: A Review. Bayburt Üniversitesi Fen Bilimleri Dergisi. 2021;4(1):73-79. https://izlik.org/JA79HB63AD
Chicago
Alselwi, Ghadir Abdulhakim Abdo Abdullah, and Tuğrul Taşcı. 2021. “Arabic Sign Language Recognition: A Review”. Bayburt Üniversitesi Fen Bilimleri Dergisi 4 (1): 73-79. https://izlik.org/JA79HB63AD.
EndNote
Alselwi GAAA, Taşcı T (June 1, 2021) Arabic Sign Language Recognition: A Review. Bayburt Üniversitesi Fen Bilimleri Dergisi 4 1 73–79.
IEEE
[1]G. A. A. A. Alselwi and T. Taşcı, “Arabic Sign Language Recognition: A Review”, Bayburt Üniversitesi Fen Bilimleri Dergisi, vol. 4, no. 1, pp. 73–79, June 2021, [Online]. Available: https://izlik.org/JA79HB63AD
ISNAD
Alselwi, Ghadir Abdulhakim Abdo Abdullah - Taşcı, Tuğrul. “Arabic Sign Language Recognition: A Review”. Bayburt Üniversitesi Fen Bilimleri Dergisi 4/1 (June 1, 2021): 73-79. https://izlik.org/JA79HB63AD.
JAMA
1.Alselwi GAAA, Taşcı T. Arabic Sign Language Recognition: A Review. Bayburt Üniversitesi Fen Bilimleri Dergisi. 2021;4:73–79.
MLA
Alselwi, Ghadir Abdulhakim Abdo Abdullah, and Tuğrul Taşcı. “Arabic Sign Language Recognition: A Review”. Bayburt Üniversitesi Fen Bilimleri Dergisi, vol. 4, no. 1, June 2021, pp. 73-79, https://izlik.org/JA79HB63AD.
Vancouver
1.Ghadir Abdulhakim Abdo Abdullah Alselwi, Tuğrul Taşcı. Arabic Sign Language Recognition: A Review. Bayburt Üniversitesi Fen Bilimleri Dergisi [Internet]. 2021 Jun. 1;4(1):73-9. Available from: https://izlik.org/JA79HB63AD

Indexing

                          download?token=eyJhdXRoX3JvbGVzIjpbXSwiZW5kcG9pbnQiOiJqb3VybmFsIiwib3JpZ2luYWxuYW1lIjoiYWNhZGVtaW5kZXhfbG9nby5wbmciLCJwYXRoIjoiMDE0OC9jNGUxL2ExYTEvNjlkNjIzMDZkMDFhNzkuNjQwNjcyNTYucG5nIiwiZXhwIjoxNzc1NjQ0OTUxLCJub25jZSI6IjIwMTE3NzAxMDQyODcyNDhkYjljNzA3MDNiZTI4MGQyIn0.gcKaww5KFzsu_vkMOBXVC6pmMUKOapitiUhwD5Iy6xQ      download?token=eyJhdXRoX3JvbGVzIjpbXSwiZW5kcG9pbnQiOiJqb3VybmFsIiwib3JpZ2luYWxuYW1lIjoiRFJKSV9Mb2dvLmpwZyIsInBhdGgiOiJhNjIxLzI3ZmUvZjRlZC82OWQ2MjMwNmM3MjM5NC45MjkzMzc2NC5qcGciLCJleHAiOjE3NzU2NDQ5NTEsIm5vbmNlIjoiODFjZDA0YjFjYjQ5OTM1MTM2YjVlNWFmOWU3M2VkMGEifQ.IrE2DQxJsd2_GiIgUm-2Ss63rpEBkTJ5pPxG4zfLZPE     download?token=eyJhdXRoX3JvbGVzIjpbXSwiZW5kcG9pbnQiOiJqb3VybmFsIiwib3JpZ2luYWxuYW1lIjoibG9nbzIucG5nIiwicGF0aCI6IjcxN2YvZTNhOS8wNDBkLzY5ZDYyMzA2ZDFkOWU3LjQzMzczOTcwLnBuZyIsImV4cCI6MTc3NTY0NDk1MSwibm9uY2UiOiI1Y2IzZGU3YjExOGIyNzA0Y2FiOTc1NTEyOTg0MjMxNSJ9.Bkxx2nQGj6Iq9GPltNmAd5p7wFOSTH2Ga3QTA0IL4cM