Vision-Based Bare-Hand Gesture Interface for Interactive Augmented Reality Applications

This paper presents a barehanded interaction method for augmented reality games based on human hand gestures. Point features are tracked from input video frames and the motion of moving objects is computed. The moving patterns of the motion trajectories are used to determine whether the motion is an intended gesture. A smooth trajectory toward one of virtual objects or menus is classified as an intended gesture and the corresponding action is invoked. To prove the validity of the proposed method, we implemented two simple augmented reality applications: a gesture-based music player and a virtual basketball game. The experiments for three untrained users indicate that the accuracy of menu activation according to the intended gestures is 94% for normal speed gestures and 84% for fast and abrupt gestures.