Extracting of Five Characteristic Parameters Using in Static Gesture Recognition

Hong Duan; Yang Luo

doi:10.4028/www.scientific.net/AMM.380-384.3738

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384Extracting of Five Characteristic Parameters Using...

Extracting of Five Characteristic Parameters Using in Static Gesture Recognition

Abstract:

Proposed a static gesture recognition method for identifying characteristics of the object in combination. With the feature vector composed of five features, such as the number of fingers, gesture outline convex defect characteristics, the length and area of contour and Hu matrix, we adopted the template-matching method to conduct the matching of featured parameters. Experiments show that the method successfully recognized static gestures under complex background and could reduce the impact of environmental change simultaneously.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

3738-3741

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.3738

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Online since:

August 2013

Authors:

Hong Duan, Yang Luo

Keywords:

Characteristic Parameters, Combined Features, Template-Based Match

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