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Master Motor Map (MMM) is a conceptual framework for perception, visualization, reproduction, and recognition of human motion in order to decouple motion capture data from further post-processing tasks, such as execution on a real humanoid robot. Employing MMM makes it easy to map motions between ... [More] different kinematics independently and uniformly as well as to analyze certain dynamic aspects of the considered motion. This package (MMMCore) contains data structures and kinematic models (e.g. Data I/O, MMM Model, C3D Import) which are required for MMMTools. [Less]

We present MocapNET, an ensemble of SNN encoders that estimates the 3D human body pose based on 2D joint estimations extracted from monocular RGB images. MocapNET provides BVH file output which can be rendered in real-time or imported without any additional processing in most popular 3D animation ... [More] software. The proposed architecture achieves 3D human pose estimations at state of the art rates of 400Hz using only CPU processing. [Less]