Sign Language Detection: A Review

Authors

  • Ms. Dipanjali Ukil Student of B.E [C.S.E] Tulsiramji Gaikwad Patil College of Engineering and Technology Nagpur, India
  • Ms.Ayushri Padole Student of B.E [C.S.E] Tulsiramji Gaikwad Patil College of Engineering and Technology Nagpur, India
  • Ms. Ashwini Patil Student of B.E [C.S.E] Tulsiramji Gaikwad Patil College of Engineering and Technology Nagpur, India
  • Ms. Alfisha Ansari Student of B.E [C.S.E] Tulsiramji Gaikwad Patil College of Engineering and Technology Nagpur, India
  • Ms. Chetna Rewatkar Student of B.E [C.S.E] Tulsiramji Gaikwad Patil College of Engineering and Technology Nagpur, India
  • Ms. Neha Mogre Student of B.E [C.S.E] Tulsiramji Gaikwad Patil College of Engineering and Technology Nagpur, India

Keywords:

Sign Language Recognition, Gesture, deaf and dumb community

Abstract

Sign Language is a derived language for communication between deaf and dumb community people. It is the most significant and reliable way of communication between normal people and hard of hearing and speech impaired people without the need of interpreter. Every country has introduced its own sign language. The sign language developed in India is known as Indian Sign Language. In this paper, we present a literature of the latest advancements in the area of sign language(recognition). First, we review the techniques of gesture recognition and highlight some critical and important methods in recent developments. Next, we focus on the analysis and discussions about the challenges and any other possible solutions for the sign language recognition. Finally, we outline the TensorFlow method of recognition.

References

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M. Al-Hammadi, G. Muhammad, W. Abdul, M. Alsaiman, T. S. Alrayes, H. Mathkour, M. A. Mekhtiche, "Deep Learning-Based Approach for Sign Language Gesture Recognition with Efficient Hand Gesture Representation", 2020, IEEE ACCESS

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Published

18-04-2022

How to Cite

Ms. Dipanjali Ukil, Ms.Ayushri Padole, Ms. Ashwini Patil, Ms. Alfisha Ansari, Ms. Chetna Rewatkar, & Ms. Neha Mogre. (2022). Sign Language Detection: A Review. International Journal for Research Publication and Seminar, 13(3), 17–19. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/517

Issue

Vol. 13 No. 3 (2022): Volume 13 | Issue 3 | 2022 (NSCIT)

Section

Original Research Article

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