Making mental motion by the acceleration control technique with motion capture data

Articulated Motion Analysis from Motion Capture Data

We present computational methods to extract and model different joints of a generic subject, in an automatic way. The input for our methods is simply a set of trajectories of 3D points, obtained from a motion capture system (MOCAP). Due to the piecewise rigidity of the skeleton, these trajectories belong to different subspaces (of the space of all possible trajectories). We use this knowledge t...

Motion Capture Data Manipulation

This paper presents an integrated set of tools to facilitate the manipulation and reuse of motion capture data. A functional representation in terms of nonuniform B-splines provides a compact and eecient description of motion sequences. A collection of B-spline curves attached to a hierarchical structure is used to represent the animation of articulated gures. A set of primitive operators actin...

Enhancing Procedural Animation with Motion Capture Data

Making Feasible Walking Motion of Humanoid Robots from Human Motion Capture Data

Thtiswork presents n,stmly of the human / h,ummwid lixmmotion. system. ond a method for odoptotion of the Human Motion Capture Data (HMCD) for drivinfi o humanoid robot. The anmlysis uses the preciously defined concept of th,e Zero Moment Point (ZMP) wh,id prwides (Lbasis for the u,do.ptation, of the HMCD. An u,ppropri~, model of the robot foot, an ogreem,en,t with, the HMCD, is proposed. This ...

Data-Driven Completion of Motion Capture Data

We present a data-driven method for completion of corrupted marker-based motion capture data. Our novel approach is especially suitable for challenging cases, e.g. if complete marker sets of multiple body parts are missing over a long period of time. Without the need for extensive preprocessing we are able to fix missing markers across different actors and motion styles. Our approach can be use...