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Indian Sign Language Interpreter

EasyChair Preprint no. 7355

5 pagesDate: January 21, 2022


The sign language is a very important way of communication for mute people. In sign language each gesture has a specific meaning. So therefore complex meanings can be explain by the help of combination of various basic elements. Sign language is a gesture based language for communication of mute people. It is basically a non-verbal language which is usually used to mute people to communicate more effectively with each other or normal people. Sign language contains special rules and grammar's for expressing effectively. Basically there are two main sign language recognition approaches image- based and sensor-based. Gesture recognition is gaining importance in many applications areas such as human interface, communication, multimedia and security. Typically Sign recognition is related as image understanding. It contains two phases: sign detection and sign recognition. Sign detection is an extracting feature of certain object with respect to certain parameters. Sign recognition is recognizing a certain shape that differentiates the object from the remaining shapes. Language, especially in the cases when no alternative communication is available.

Keyphrases: CNN algorithm, Gesture Detection, Sign Language interpreter for mute people

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Aayush Shukla and Chetan Parmar and Ashwini Deshmukh},
  title = {Indian Sign Language Interpreter},
  howpublished = {EasyChair Preprint no. 7355},

  year = {EasyChair, 2022}}
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