COMPUTER VISION-BASED GESTURE RECOGNITION FOR AN AUGMENTED REALITY INTERFACE

Authors:

Moritz Störring

Thomas B. Moeslund

Yong Liu

Erik Granum

Summary:

A paper proposes a computer vision based algorithm for recognizing gestures in an augmented reality system. The hand gestures (counting 1 -5 ) is captured with Head Mounted Camera (HMC). The problem comes down to identifying each finger and finding the number of fingers in an image. The image of hand is transformed to polar transformation.

User study; Qualitative data from the user study showed the system was robust and users adapted to the system easily

Discussion:

The target of the paper was to provide a gesture recognition system but the accuracy of the system has not been reported. Not providing quantitative data raises questions about the algorithm. Why is the robustness of the AR interface analyzed in the user study?

Comments: Drew , Franck