Hand-gesture-based human-machine interface system using Compressive Sensing

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.