🏃‍♀️ 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).

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

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!

CoachMe: A generative instruction model based on motion analysis for sports.

Official implementation of "Language-Guided Transformer Tokenizer for Human Motion Generation."

Official implementation of the paper "MoSa: Motion Generation with Scalable Autoregressive Modelling."

Human motion capture system written in MATLAB

A project that create virtual cycling simulator

Official implementation of AAAI 2023 Oral Paper "Frame-Level Label Refinement for Skeleton-Based Weakly-Supervised Action Recognition"

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.

Usage of direct linear transformation (camera calibration and point reconstruction) for accurate motion analysis in biomechanical applications.

GapFill: gap filling functions for motion capture marker data

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

🏌️ Golf swing analysis using MediaPipe Pose & OpenCV for motion tracking, posture evaluation, and performance improvement.

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.

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.

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.

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.

PIN2GPI: from Pressure INsoles to Gait Phase Identification

Computer Vision 🦠 - Analysis of the motion of microorganisms in petri dishes

Medical img/video processing: optical flow (Farneback, Lucas-Kanade, DL), CBIR (SIFT/ORB/CNN embeddings), object detection and Dash interactivity

Adult-Child Musculoskeletal Model and Motion Analysis.

Goniometric motion analysis software