Jaeyeong Ryu  Adithya B  Ashok Kumar Patil  Youngho Chai

10.5626/JOK.2021.48.7.781

Human-Computer Interaction Gesture Recognition 3D position tracking Motion Analysis

Recently, dynamic gesture recognition technology, which belongs to human-computer interaction (HCI), has received much attention. This is because the interface configuration for utilizing the system is simple and it is possible to communicate quickly. In this paper, we used a new input data format for the dynamic gesture recognition system and conducted research to improve the recognition accuracy. In the existing dynamic gesture recognition system, the position data and the rotation data of the joint are mainly used. In the proposed system, motion-sphere trajectory data are used. Motion-sphere expresses motion intuitively as a technique for visualizing movement. In the motion-sphere, the expression is composed of the trajectory and twist angle. In this paper, the trajectory of the motion-sphere is used as input data of the dynamic gesture recognition system. The validity of the trajectory data used is verified through the dynamic gesture recognition accuracy comparison. In the experiment, we experimented on two cases. The first cases were conducted by using measured quaternion data. The other experiments used open motion data. Both experiments conducted cognitive accuracy tests, and each experiment yielded high cognitive accuracy.