Real-Time Control of a Virtual Human Using Minimal Sensors

Author:

Badler Norman I.1,Hollick Michael J.1,Granieri John P.1

Affiliation:

1. Computer Graphics Research Laboratory, Department of Computer and Information Science, University of Pennsylvania, Philadelphia. Pennsylvania 19104-6389.

Abstract

We track, in real-time, the position and posture of a human body, using a minimal number of six DOF sensors to capture full body standing postures. We use four sensors to create a good approximation of a human operator's position and posture, and map it on to our articulated computer graphics human model. The unsensed joints are positioned by a fast inverse kinematics algorithm. Our goal is to realistically recreate human postures while minimally encumbering the operator.

Publisher

MIT Press - Journals

Subject

Computer Vision and Pattern Recognition,Human-Computer Interaction,Control and Systems Engineering,Software

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