A Contemporary Model of Real-Time Indian Sign Language Recognition (ISLR) system using segmentation and image classification

Authors

  • Mrs.P.Priya, Dr.P.Kumari Author

DOI:

https://doi.org/10.48047/ybqe5902

Keywords:

Bag of Visual Words model , expected labels, background

Abstract

With the multitude of potential uses, hand signs are the useful method of communication among challenged people and particularly speech impaired people. People with speech impairments use the sign language all over the world for communication. Actually this section of people comprises roughly 1% of Indian citizens. The main justification for incorporating this model that could realize Indian Sign Language would be extremely beneficial to these people. 

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References

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Safonova, A., Ghazaryan, G., Stiller, S., Main-Knorn, M., Nendel, C., & Ryo, M. (2023). Ten deep learning techniques to address small data problems with remote sensing. EarthArXiv (California Digital Library). Khetavath, S., Sendhilkumar, N. C., Mukunthan, P., Jana, S., Gopalakrishnan, S., Malliga, L., Chand, S. R., & Farhaoui, Y. (2023). An intelligent heuristic Manta-Ray foraging optimization and adaptive extreme learning machine for hand gesture image recognition. Big Data Mining and Analytics, 6(3), 321–335.

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Published

2025-02-03

How to Cite

Mrs.P.Priya, Dr.P.Kumari. (2025). A Contemporary Model of Real-Time Indian Sign Language Recognition (ISLR) system using segmentation and image classification . Cuestiones De Fisioterapia, 54(3), 1-11. https://doi.org/10.48047/ybqe5902