文章基本信息

标题：Hand Gesture Recognition for Indian Sign Language: A Review
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作者：Suruchi Bhatnagar ; Suyash Agrawal
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2015
卷号：21
期号：3
页码：121-122
DOI：10.14445/22312803/IJCTT-V21P122
出版社：Seventh Sense Research Group
摘要：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).
关键词：Indian Sign Language; Human computerInteraction; Hidden Markov Model; Naïve Bayes’ Classifier; CAMSHIFT algorithm; Back Propagation Neural Network.