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The model is tested for the walking action and is automatically learnt from the public CMU motion capture database.
Figure 2 Four example postures taken from the motion capture database (sad, afraid, drunk and decided walks).
The goal of this study includes: studying all aspects of MoCap; establishing protocol for the calibration of equipment, its fine tuning, and for data interpretation; creating a User Guide for the MoCap equipment in question; and finally creating a motion capture database [MOCAP_ULL] containing all of the movements captured during the MOCAP-ULL study.
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The database features motion capture data and videos from human and environmental interactions, locomotion, physical activities and sports, situations and scenarios, and test motions.
A large database of neutral motion capture walk sequences was used to train an HMM of average walk.
This work is more related to the template-database approach of motion capture animation, as it was described in Section 1, than to the approach we describe in the present article.
Our action-specific model is trained with 3D motion capture data for the walking action from the CMU Graphics Lab Motion capture database.
"Motion capture is good at large motions," he said.
In our databases, like in all motion capture systems, the human body structure is approximated by a kinematic tree of joints modeled as points separated by segments of known constant lengths (see the skeletons in Figure 2).
In these experiments an annotated sequence and a known database of human motions that contains motion capture data are used to make a quantitative study of different sequences in order to evaluate the performance of the presented approach.
However, prerecorded motion capture data cannot be reused efficiently because picking a specific motion from a large database and modifying the motion data to fit the desired motion patterns are difficult tasks.
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