Virtual characters are now widely used in games, computer-generated (CG) movies, virtual reality (VR), and communication media. The continued technological innovations in motion capture mean that a more natural representation of a three-dimensional character’s motion should be achievable. Many researchers have investigated how virtual characters interact with their surrounding environment through spatial relationships, which were introduced for adapting and preserving character motion. However, technical problems should be resolved to enable the control of characters in augmented reality (AR) environments that combine with the real world, and this can be achieved by adapting motion to environmental differences using original motion datasets. In this paper, we investigate a novel method for preserving automatic motion adaptation for a virtual character in AR environments. We used specific object (e.g., puddle) recognition and the spatial properties of the user’s surrounding space, e.g., object types and positions, and ran validation experiments to provide accurate motion to improve the AR experience. Our experimental study showed positive results in terms of smooth motion in AR configurations. We also found that the participants using AR felt a greater sense of co-presence with the character through adapted motion.
1 May 2014 in International Journal of Distributed Sensor Networks
We realized a real space-based virtual aquarium equipped with a multiview function that provides images for users and audiences at the same time through motion tracking sensors. A virtual reality system needs more natural and intuitive interfaces so as to enhance users' immersion. We attach markers on users and camera devices in a real space designed in the one-to-one size as the virtual space to trace user and camera motions, which is reflected in real time to generate virtual world images. These images are transmitted to the user's immersing image devices. Also, the system allows audiences to share experiences by providing them with virtual synthetic images from a third-person perspective including a user after taking the user in the real space with a camcorder on which motion tracking markers are attached. For this, the system provides the functions of marker-based motion tracking with sensors, recognition of user's motions, real-time actual image rendering, and multiview to realize a system to simulate more intuitive and natural virtual space interactions, which can be used for the construction of motion-based realistic/experiencing systems, which increasingly attract interest.