A real-time motion capture system that estimates poses and global translations using only 6 inertial measurement units

Code for our SIGGRAPH 2021 paper “TransPose: Real-time 3D Human Translation and Pose Estimation with Six Inertial Sensors”. This repository contains the system implementation, evaluation, and some example IMU data which you can easily run with. Project Page

Live Demo 1Live Demo 2

Usage

Install dependencies

We use python 3.7.6. You should install the newest pytorch chumpy vctoolkit open3d.

Prepare SMPL body model

  1. Download SMPL model from here. You should click SMPL for Python and download the version 1.0.0 for Python 2.7 (10 shape PCs). Then unzip it.
  2. In config.py, set paths.smpl_file to the model path.
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