Gesture Recognition System Based on Wavelet Moment

Kun Wei Chen; Xing Guo; Jian Guo Wu

doi:10.4028/www.scientific.net/AMM.401-403.1377

Paper Titles

Cluster Hybrid Property Data Based on the Combination of K-Means and K-Prototypes
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Study on Signal De-Noising for Vehicle Active Anti-Collision Warning Radar
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FMECA Method of Health Management-Oriented
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Gesture Recognition System Based on Wavelet Moment
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Image Fusion Algorithm Based on Nonsubsampled Contourlet Transform
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Machining Parameters Optimization for WEDM Based on Grey Relational Analysis
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Magnetic Generator with Automatic Gain Regulation in a Wireless Tracking System for a Capsule Endoscope
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Novel Iterative Truncated Total Least Squares Algorithm for Image Restoration
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 401-403Gesture Recognition System Based on Wavelet Moment

Gesture Recognition System Based on Wavelet Moment

Abstract:

Vision-based gesturerecognition is a key technique to achieve a new generation of human-computerinteraction. As few text input search system by gesture recognition isdeveloped, based on the existing gesture recognition techniques, we use thegestures which are corresponding to the Chinese letters and numbers as inputgesture and use Microsoft kinect to obtain depth image to conduct hand gesturesegmentation. First, the edge of the gesture is extracted by Canny algorithm,and then the feature is extracted based on wavelet moment. Finally the gestureletters are obtained. Achieved the text input system based on gesturerecognition. Experiments show that the system is able to achieve Chinesecharacters accurately and effectively.

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Periodical:

Applied Mechanics and Materials (Volumes 401-403)

Pages:

1377-1380

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.401-403.1377

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Online since:

September 2013

Authors:

Kun Wei Chen, Xing Guo, Jian Guo Wu

Keywords:

Canny Algorithm, Gesture Recognition, Moment Compare, Text Input System

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