Accessible System for Sign Language Computation

Authors

  • Patel Harshil  U.G, Department of Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Patel Jay  U.G, Department of Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Patel Smit  U.G, Department of Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Thakkar Mayur  U.G, Department of Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Dr. Sheshang Degadwala  Associate Professor, Department of Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India

DOI:

https://doi.org/10.32628/CSEIT217255

Keywords:

Sign language recognition, Indian Sign Language, ANN, CNN, OpenCV, YOLO3

Abstract

Sign Language is most accepted and purposeful way of communication for deaf and mute folks of the society. signing uses gestures, head/body movements and facial expressions for communication. it's a strong manner of Non-Verbal communication among humans. each country has its own developed signing. The language which is employed in Bharat is named as “Indian Sign Language (ISL)”. terribly lessresearch work has been carried out during this space as ISL has standardized recently. presently several researchers have primarily focused on gesture recognition that has been recorded underneath static hand gesture. solely few works have been reported for recognition of dynamic hand gesture. several ways are developed to recognize alphabets and numbers of ISL. The major steps concerned in planning such a system area unit gesture acquisition, trailing and segmentation, feature extraction and gesture recognition. This paper presents a survey on varied hand gesture recognition approaches for ISL. General Terms : Hand Gesture Recognition, Human computer interaction, YOLO3

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Published

2021-04-30

Issue

Volume 7, Issue 2, March-April-2021

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Patel Harshil, Patel Jay, Patel Smit, Thakkar Mayur, Dr. Sheshang Degadwala, " Accessible System for Sign Language Computation " International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 2, pp.222-230, March-April-2021. Available at doi : https://doi.org/10.32628/CSEIT217255