Finger controller: Natural user interaction using finger gestures

Abstract

We present a new natural user interaction technique using finger gesture recognition and finger identification with Kinect depth data. We developed a gesture version drawing, multi-touch and mapping on 3d space interactions. We implemented three type interfaces using their interaction such as air-drawing, image manipulation and video manipulation. In this paper, we explain finger gesture recognition method, finger identification method and natural user interactions in detail. We show the preliminary experiment for evaluating accuracy of finger identification and finger gesture recognition accuracy, evaluating user questionnaire for interaction satisfaction. Finally, we discuss the result of evaluation and our contributions. © 2013 Springer-Verlag.