Efficientnet Indian Sign Language Recognition Using Pretrained Weights

Authors

  • TS.Arthi Department of Computer Science and Engineering, Galgotias College of Engineering & Technology, Greater Noida, Uttar Pradesh.India. Author
  • Vinotha D Department of Computer Science and Engineering, The Oxford College of Engineering, Bengaluru, Karnataka, India. Author

Keywords:

Sign language, Transfer learning, EfficientNet B0

Abstract

For people who are hard of hearing, sign language is a means of communication that allows them to participate fully in society. People who are deaf or hard of hearing in India and the surrounding countries use Indian sign language (ISL). A total of thirty-five signs, including nine numerals and twenty-six alphabets, make up this sign language. It will only be understandable by people who are skilled in sign language. Because of this problem, deaf people can't communicate with hearing people in social settings. One possible solution to this problem is an automatic sign language identification system, which can help the deaf communicate better with others. This study presents a novel approach to classifying the 35 gestures used in Indian Sign Language through the application of transfer learning with the Efficient B0 model. Experimental findings from the Indian sign language (ISL) dataset were used to train the model, and it attained a 100% accuracy rate in categorizing signals in Indian sign language.

Downloads

Download data is not yet available.

References

R. Vega, A. Vasquez, W. Amador, and A. Rojas, “Deep learning for the recognition of facial expression in the Colombian sign language,” Annals of Physical and Rehabilitation Medicine, vol. 61, 2018.

Goyal, Sakshi, Ishita Sharma, and Shanu Sharma. "Sign language recognition system for deaf and dumb people." International Journal of Engineering Research Technology 2, no. 4 (2013).

Singha, Joyeeta, and Karen Das. "Indian sign language recognition using eigen value weighted Euclidean distance-based classification technique." International Journal of Advanced Computer Science and Applications 4, 2 (2013).

Rokade, Yogeshwar I., and Prashant M. Jadav. "Indian sign language recognition system." International Journal of engineering and Technology 9, no. 3 (2017): 189-196.

Sahoo, Ashok Kumar, Pradeepta Kumar Sarangi, and Parul Goyal. "Indian sign language recognition using soft computing techniques." Machine Vision Inspection Systems: Image Processing, Concepts, Methodologies and Applications 1 (2020): 37-65.

Chakraborty, Subhalaxmi, Nanak Bandyopadhyay, Piyal Chakraverty, Swatilekha Banerjee, Zinnia Sarkar, and Sweta Ghosh. "Indian Sign Language Classification (ISL) using Machine Learning." American Journal of Electronics & Communication 1, no. 3 (2021): 17-21.

Kaur, Jasmine, and C. Rama Krishna. "An efficient Indian sign language recognition system using sift descriptor." International Journal of Engineering and Advanced Technology (IJEAT) 8, no. 6 (2019).

Kadam, Sanket, Aakash Ghodke, and Sumitra Sadhukhan. "Hand gesture recognition software based on Indian sign language." In 2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT), pp. 1-6. IEEE, 2019.

Sruthi, C. J., and A. Lijiya. "Signet: A deep learning based indian sign language recognition system." In 2019 International conference on communication and signal processing (ICCSP), pp. 0596-0600. IEEE, 2019.

Patil, Rachana, Vivek Patil, Abhishek Bahuguna, and Gaurav Datkhile. "Indian Sign Language Recognition using Convolutional Neural Network." In ITM Web of Conferences, vol. 40, p. 03004. EDP Sciences, 2021.

Shenoy, Kartik, Tejas Dastane, Varun Rao, and Devendra Vyavaharkar. "Real-time Indian sign language (ISL) recognition." In 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1-9. IEEE, 2018.

Reshna, S., A. Sajeena, and Madhavan Jayaraju. "Recognition of static hand gestures of Indian sign language using CNN." In AIP Conference Proceedings, vol. 2222, no. 1, p. 030012. AIP Publishing LLC, 2020.

Raheja, J. L., Anand Mishra, and Ankit Chaudhary. "Indian sign language recognition using SVM." Pattern Recognition and Image Analysis 26, no. 2 (2016): 434-441.

Revanth, K., and N. Sri Madhava Raja. "Comprehensive SVM based Indian Sign Language Recognition." In 2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN), pp. 1-4. IEEE, 2019.

Gangrade, Jayesh, and Jyoti Bharti. "Vision-based hand gesture recognition for indian sign language using convolution neural network." IETE Journal of Research (2020): 1-10.

Beena, M. V., Agnisarman Namboodiri, and Rani Thottungal. "Hybrid approaches of convolutional network and support vector machine for American sign language prediction." Multimedia Tools and Applications 79, no. 5 (2020): 4027-4040.

Tan, Mingxing, and Quoc Le. "Efficientnet: Rethinking model scaling for convolutional neural networks." In International conference on machine learning, pp. 6105-6114. PMLR, 2019.

He, Kaiming, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. "Deep residual learning for image recognition." In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 770-778. 2016.

Sandler, Mark, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen. "Mobilenetv2: Inverted residuals and linear bottlenecks." In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 4510-4520. 2018.

V. Agarwal, “Architectural details of all efficientnet models,” accessed: 2020-08-25. [Online]. Available: https://towardsdatascience.com/ complete-architectural-details-of-all-efficientnet-models-5fd5b736142.

Prathum Arikeri. (2021), “Indian Sign Language Character Level Dataset. Kaggle Dataset. Retrieved 2021- 06-05.

Vidhyalakshmi, M. K., E. Poovammal, Vidhyacharan Bhaskar, and J. Sathyanarayanan. "Novel similarity metric learning using deep learning and root SIFT for person re-identification." Wireless Personal Communications 117, no. 3 (2021): 1835-1851.

Published

2024-04-29

Issue

Section

Research Articles

How to Cite

TS.Arthi, and Vinotha D. 2024. “Efficientnet Indian Sign Language Recognition Using Pretrained Weights ”. International Journal of Scientific and Research in Engineering(IJSRE) 1 (2): 49-58. http://ijsre.org/index.php/home/article/view/10.