Marker-based and marker-less optical skeletal motion-capture methods use an outside-in arrangement of cameras placed around a scene, with viewpoints converging on the center. They often create discomfort by possibly needed marker suits, and their recording volume is severely restricted and often constrained to indoor scenes with controlled backgrounds. We therefore propose a new method for real...

This paper introduces a novel epitomic model for motion capture data which we call the motion epitome. Epitomic motion analysis results in a generative time series model which compresses sequences of motion capture data into a compact representation of their most salient constituent elements. In comparison to conventional generative models of human motion such as a Hidden Markov Model or Switch...

Simulation of digital human hand postures of car controls using a data based approach p. 13 Human articulation efforts estimation in the automobile vehicle accessibility movement-a pilot study p. 23 Study on the appraisal methods of hand fatigue p. 33 Experimental research on human body motion simulation based on the motion capture technology p. 42 Modeling of human's pointing movement on the e...

Some clinicians have suggested using virtual reality environments to deliver psychological interventions to treat anxiety disorders. However, given a significant body of work on cybersickness symptoms which may arise in virtual environments - especially those involving simulated motion - we tested (a) whether being exposed to a virtual reality environment alone causes anxiety to increase, and (...

In this paper presents an approach for creating lifelike, controllable motion in interactive virtual environments. This is achieved through learning statistical model from a set of motion capture sequences. The method is based on clustering the motion data into motion primitives that capture local dynamical characteristics— Dynamic texture, modeling the dynamics in each cluster using linear dyn...

This paper describes the vision system for a humanoid robot, which includes the mechanism that controls eyeball orientation and blinking process. Along with the mechanism designed, the orientation of the camera, integrated with controlling servomotors. This vision system is a bio-mimic, which is  designed to match the size of human eye. This prototype runs face recognition and identifies, match...

Our goal is to capture style from real human motion so it can be rendered with a virtual agent that represents this human user. We used expressivity parameters to describe motion style. As a first contribution, we propose an approach to estimate a subset of expressivity parameters defined in the literature (namely spatial extent and temporal extent) from captured motion trajectories. Second, we...

Optical tracking has a great future in applications of virtual and augmented reality. It will assist to enhance the acceptance of virtual reality user interfaces, since optical tracking allows wireless interaction and precise tracking. Existing commercial motion capture systems are neither working reliably in real-time. Additionally, only few optical trackers can smooth and predict motion and i...

We describe a real-time 3D computer vision system for detecting and tracking human movement and providing a person with control over the movement of a virtual puppet. Multiple cameras observe a person; silhouette analysis and template matching achieve real-time 3D estimation of human posture. A dynamics/kinematics model of human body and Kalman filter are utilized to help the tracking process a...