🏃‍♀️ 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!

The source code and pre-trained models for Motion Matters: Neural Motion Transfer for Better Camera Physiological Sensing (WACV 2024, Oral).

Human motion capture system written in MATLAB

(CVPR 2023) MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds

Natural Coordinates with python for biomechanics

Python interface of C3Dserver software for reading and editing C3D motion capture files

Extract and visualize gait data

A research toolkit for extracting quantitative features from human movement data, offering computational methods to analyze movement qualities like smoothness, bilateral symmetry, contraction/expansion patterns, and synchronization. Built for researchers in motor control, biomechanics, and movement disorders.

A project that create virtual cycling simulator

GapFill: gap filling functions for motion capture marker data

Wearable gait event detection device with real-time gait event-dependent feedback. Heel-strike events accuracy was validated with floor-embedded force plates.

Realtime Human Motion Tracking and Analysis

Generalized and streamlined image phenotyping of dynamic objects over time

Interactive web-based biomechanics tool for real-time squat motion analysis and Center of Mass (COM) visualization, combining YOLOv5 tracking, Unity simulation, and educational quizzes.

This project develops a fall detection system using Pose Estimation and Optical Flow data with LSTM networks. It enhances detection accuracy for elderly care by analyzing body movements in real-time. Key technologies include the MoveNet model for pose estimation, Optical Flow analysis and LSTM networks for temporal analysis.

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!

Python package used by used by me and my friends at the university in the course "Advanced Image, Video and Motion Analysis".

Compute causal relationships between individual pixels in 2D videos over space and time to reveal salient dynamics using a variety of causal measures

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.