A challenge for 3D motion capture by monocular vision is 3D-2D projection ambiguities that may bring incorrect poses during tracking. In this paper, we propose improving 3D motion capture by learning human gesture models from a library of gestures with variants. This library has been created with virtual human animations. Gestures are described as Gaussian Process Dynamic Models (GPDM) and are ...

This paper describes a physically-based simulation for grasping tasks in an interactive environment. Fingertips and interacting objects are based on quasi-rigid models. The quasi-rigid model combines a rigid model for dynamic simulation and a deformable model for resolving local contact with friction and surface deformation. We simulate deformation by adding compliance on control points in the ...

In this study, nonlinear vibration of axially moving strings in thermal environment is investigated. The vibration haracteristics of the system such as natural frequencies, time domain response and stability states are studied at different temperatures. The velocity of the axial movement is assumed to be constant with minor harmonic variations. It is presumed that the system and the environment...

We present IMU2Face, a gesture-driven facial reenactment system. To this end, we combine recent advances in facial motion capture and inertial measurement units (IMUs) to control the facial expressions of a person in a target video based on intuitive hand gestures. IMUs are omnipresent, since modern smart-phones, smart-watches and drones integrate such sensors; e.g., for changing the orientatio...

While motion capture has been hailed as a way to achieve extremely realistic animation in a costeffective manner, many animators are reluctant to use it or to intermix it with keyframing techniques in situations where they are required to collaborate with other production personnel due to the lack of consistent software performance. The myriad of different file formats and the performance of th...

The question of encoding movements such as those produced by human gestures may become central in the coming years, given the growing importance of movement data exchanges between heterogeneous systems and applications (musical applications, 3D motion control, virtual reality interaction, etc.). For the past 20 years, various formats have been proposed for encoding movement, especially gestures...

This work is focused on the implementation and integration of virtual environment (VE) technology to support the future Human Mars Mission (HMM) personal training conducted by the National Aeronautics and Space Administration (NASA). We present a six degrees of freedom (DOF) motion platform, or Flostation, plus a head mounted display (HMD) based virtual environment training system, where the mo...