Hand Gesture Recognition for Indian Sign Language: A Review
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2015 by IJCTT Journal | ||
| Volume-21 Number-3 |
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| Year of Publication : 2015 | ||
| Authors : Suruchi Bhatnagar, Suyash Agrawal | ||
| DOI : 10.14445/22312803/IJCTT-V21P122 |
Suruchi Bhatnagar, Suyash Agrawal "Hand Gesture Recognition for Indian Sign Language: A Review". International Journal of Computer Trends and Technology (IJCTT) V21(3):121-122, March 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
Gesture recognition is a technique to analyze the human body movement. It helps humans communicate with machines (HCI) naturally without any mechanical devices. There has been always considered a challenge in the expansion of a natural interaction interface, where people interact with expertise since they are used to cooperate with the real world, this technique is called as Human Computer Interaction (HCI). Here, we are going to have a study on Hand Gesture Recognition. It has really vast area to research where we have select the very interesting topic Indian Sign Language. ISL has got standardised recently, so there is little research work that has happened in this area. In this area we have many developed methods to recognize alphabets and numerals of ISL. There are various approaches for recognition of ISL and we have done a comparative study among Hidden Markov Model (HMM), Naïve Bayes’ Classifier, YUV Colour space and CAMSHIFT Algorithm and Back Propagation Neural Network (BPNN).
References
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Keywords
Indian Sign Language, Human computer Interaction, Hidden Markov Model, Naïve Bayes’ Classifier, CAMSHIFT algorithm, Back Propagation Neural Network.