THAI SIGN LANGUAGE TO ENGLISH TRANSLATION USING VARIABLE HIDDEN NEURON ANN - A CASE STUDY

Authors

DOI:

https://doi.org/10.29121/granthaalayah.v9.i9.2021.4281

Keywords:

Sign Language, ASL, ANN, Hidden Layer, Translation

Abstract [English]

Sign language translation has been a major challenge in all walks of life. The current society has been more accepting of the specially abled and the government has been actively making policy changes to accommodate and assimilate the specially abled into the society. Every country has made a conscious effort to develop its own syllable set in its native language even though globally used language is American Sign Language (ASL). In this paper a method proposed by the authors for ASL is applied on Thai Sign Language and the working of the ANN model is explored.

Downloads

Download data is not yet available.

References

Sowjanya M N, Thimmaraju S N. (2019). A Comparison of Methods Used to Convert Sign Languages to Relative Formal Languages, JARDCS, Vol. 11, 01-Special Issue,

Sowjanya M N, Thimmaraju S N. (2021). Estimation of Hidden Neuron Requisite for Predictive Conversion from Sign Language to a Formal Language, WARSE, International Journal of Emerging Trends in Engineering Research, Vol 9, Issue 5, may, pp 545-548. Retrieved from https://doi.org/10.30534/ijeter/2021/02952021 DOI: https://doi.org/10.30534/ijeter/2021/02952021

Sowjanya M N, Thimmaraju S N. (2020) Multiple Hidden Neuron based model for accurate ASL translation, Sowjanya M N, Thimmaraju S N, Journal of Xi'an University of Architecture & Technology, Volume XII, Issue X, ISSN No : 1006-7930. Retrieved from https://www.xajzkjdx.cn/gallery/66-oct2020.pdf

Kittasil Silanon (2017). Thai Finger-Spelling Recognition Using a Cascaded Classifier Based on Histogram of Orientation Gradient Features Kittasil Silanon, Computational Intelligence and Neuroscience Volume, Article ID 9026375, 11 pages. Retrieved from https://doi.org/10.1155/2017/9026375 DOI: https://doi.org/10.1155/2017/9026375

Supawadee Saengsri, Vit Niennattrakul, Chotirat Ann Ratanamahatana (2012). Thai Sign Language Translation Using Leap Motion Controller, Jirawat Tumsriand Warangkhana Kimpan, TFRS: Thai finger-spelling sign language recognition system, May. Retrieved from https://doi.org/10.1109/DICTAP.2012.6215407 DOI: https://doi.org/10.1109/DICTAP.2012.6215407

Ashish S. Nikam; Aarti G. Ambekar. (2016). Sign language recognition using imagebased hand gesture recognition techniques, Online International Conference on Green Engineering and Technologies (IC-GET) DOI: https://doi.org/10.1109/GET.2016.7916786

James Woodward (1996). MODERN STANDARD THAI SIGN LANGUAGE, INFLUENCE FROM ASL, AND ITS RELATIONSHIP TO ORIGINAL THAI SIGN VARIETIES, Sign Language Studies, No. 92 (Fall), pp. 227-252. Retrieved from https://doi.org/10.1353/sls.1996.0012 DOI: https://doi.org/10.1353/sls.1996.0012

http://facundoq.github.io/guides/sign_language_datasets/slr

Wikipedia (2021)https://en.wikipedia.org/wiki/Braille

Wikipedia (2021) https://en.wikipedia.org/wiki/Sign_language

Downloads

Published

2021-10-09

How to Cite

M N, S., & S N, T. (2021). THAI SIGN LANGUAGE TO ENGLISH TRANSLATION USING VARIABLE HIDDEN NEURON ANN - A CASE STUDY. International Journal of Research -GRANTHAALAYAH, 9(9), 302–305. https://doi.org/10.29121/granthaalayah.v9.i9.2021.4281