Hand-gesture-based human-machine interface system using Compressive Sensing
2015 International Symposium on Consumer Electronics (ISCE)(2015)
摘要
A novel and robust vision-based human-machine interface system to naturally interact with computers/smart devices is proposed. The key contribution is the introduction of a Compressive Sensing technique to largely reduce the dimensionality of highly discriminative feature descriptors (computed from depth imagery), which originally have an excessive and inoperative high dimension to be applied to a Support Vector Machine based classifier. The experimental results prove the appropriateness of this approach for the proposed system.
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关键词
SVM,DLQP,LBP,Compressive Sensing,gesture recognition,human-machine interface
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