🏃♀️ A curated list about human motion capture, analysis and synthesis.
PyTorch implementation of our graph convolutional network (GCN) for human motion generation from music. Also with paired dance-music data for training!
(CVPR 2023) MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds
The source code and pre-trained models for Motion Matters: Neural Motion Transfer for Better Camera Physiological Sensing (WACV 2024, Oral).
Extract and visualize gait data
Code and dataset of human retargeting approach to transfer motion and appearance between monocular videos. Check the examples from our dataset with several paired actors and motions!
A project that create virtual cycling simulator
Natural Coordinates with python for biomechanics
Python interface of C3Dserver software for reading and editing C3D motion capture files
Wearable gait event detection device with real-time gait event-dependent feedback. Heel-strike events accuracy was validated with floor-embedded force plates.
Official implementation of AAAI 2023 Oral Paper "Frame-Level Label Refinement for Skeleton-Based Weakly-Supervised Action Recognition"
GapFill: gap filling functions for motion capture marker data
Usage of direct linear transformation (camera calibration and point reconstruction) for accurate motion analysis in biomechanical applications.
In-depth motion analysis of mobile lung cancer tumors. Designed for 4D-CT scans of the thorax and provide valuable information for proton therapy treatment planning
The infant video dataset collected from Youtube with body parsing annotations.
Compute causal relationships between individual pixels in 2D videos over space and time to reveal salient dynamics using a variety of causal measures
This repository contains Python code used for the extraction and clustering of muscle and kinematic synergies from preprocessed EMG data, as described in the research paper . The data was initially imported from Vicon c3d files.
Open Microscopy Environment inteGrated Analysis (OMEGA) is a cross-platform data management, analysis and visualization system, for particle tracking data with particular emphasis on results from viral and vesicular trafficking experiments.
Adult-Child Musculoskeletal Model and Motion Analysis.
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