Human-action recognition module for the new generation of augmented reality applications

Augmented reality is becoming more and more popular due to the countless number of practical applications. A key element is the understanding of the scene and the involved human activities to be able to offer a rich interaction with the world via virtual actions and elements. For this purpose, a new vision-based human-action recognition module has been developed to be integrated with the new generation of augmented reality devices, which is based on Spatio-Temporal Interest Points and the Citation K-Nearest Neighbor classifier.