Bare hand natural interaction with augmented objects

Abstract

In this work in progress we address the problem of interacting with augmented objects. A bare hand tracking technique is developed, which allied to gesture recognition heuristics, enables interaction with augmented objects in an intuitive way. The tracking algorithm uses a flock of features approach that tracks both hands in real time. The interaction occurs by the execution of grasp and release gestures. Physics simulation and photorealistic rendering are added to the pipeline. This way, the tool provides more coherent feedback in order to make the virtual objects look and respond more likely real ones. The pipeline was tested through specific tasks, designed to analyze its performance regarding the easiness of use, precision and response time.