Abstract: Now a day, Hand Gesture Recognition System can be used for Interfacing between Computer and Human using Hand Gesture. Hand Gesture is defined as static movement e.g. making a fist and holding it in certain position is considered as gesture. Complex gesture, fingers can be bent at angles other than zero or ninety degree. It include various forms of pinching, the “okay” sign and many of the gestures used in finger spelling. Dynamic movement such as waving goodbye. Simple gestures are made in 2 ways. First way involves simple or complex gesture and change in position or orientation of the hand such as making a pinching gesture and changing hand position. Second way moving the fingers in some way with no change in position and orientation of hand. e.g.: moving the index and middle finger back and forth to urge someone to move closer. Complex gesture includes finger movement, wrist movement and changes in hand position and orientation. Many signs in American Sign Language are example of gesture. Number of gesture that given recognition system or algorithmic techniques can accurately recognized. 1 to 15 postures and gestures is considered small set, 15 to 25 medium sized and anything over 25 are considered large. Technique for a Human Computer Interface through Hand Gesture is able to recognize 25 Static Gestures from American Sign Language Hand Alphabet.
Keywords: Hand Gesture Recognition, American Sign Language, Gesture Recognition, Kinect Depth.
Title: Fusion of Local & Global Descriptors for Effective Hand Gesture Recognition
Author: Sneha Sharadkumar Jariwala, Prof. Neha Parmar
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
Research Publish Journals
