期刊名称：International Journal of Electronics and Computer Science Engineering
电子版ISSN：2277-1956
出版年度：2014
卷号：3
期号：3
页码：307-313
出版社：Buldanshahr : IJECSE
摘要：Gestures are powerful tools for non-verbal communication. Human computer interface (HCI) is a growing field which reduces the complexity of interaction between human and machine in which gestures are used for conveying information or controlling the machine. In the present paper, static hand gestures are utilized for this purpose. The paper presents a novel technique of recognizing hand gestures i.e. A-Z alphabets, 0-9 numbers and 6 additional control signals (for keyboard and mouse control) by extracting various features of hand ,creating a feature vector table and training a neural network. The proposed work has a recognition rate of 99%.
