269 citations · 402 across the 4 of their papers we have counts for
5 papers
A Framework for Evaluating Motion Segmentation Algorithms
Christian R. G. Dreher, Nicklas Kulp, Christian Mandery +2
There have been many proposals for algorithms segmenting human whole-body motion in the literature. However, the wide range of use cases, datasets, and quality measures that were u…
Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks
Matthias Plappert, Christian Mandery, Tamim Asfour
Linking human whole-body motion and natural language is of great interest for the generation of semantic representations of observed human behaviors as well as for the generation o…
The KIT Motion-Language Dataset
Matthias Plappert, Christian Mandery, Tamim Asfour
Linking human motion and natural language is of great interest for the generation of semantic representations of human activities as well as for the generation of robot activities…
High-Accuracy Real-Time Whole-Body Human Motion Tracking Based on Constrained Nonlinear Kalman Filtering
Jannik Steinbring, Christian Mandery, Nikolaus Vahrenkamp +2
We present a new online approach to track human whole-body motion from motion capture data, i.e., positions of labeled markers attached to the human body. Tracking in noisy data ca…
Analyzing Whole-Body Pose Transitions in Multi-Contact Motions
Christian Mandery, Júlia Borràs, Mirjam Jöchner +1
When executing whole-body motions, humans are able to use a large variety of support poses which not only utilize the feet, but also hands, knees and elbows to enhance stability. W…