• Stars
    star
    145
  • Rank 252,660 (Top 6 %)
  • Language
    Python
  • License
    MIT License
  • Created almost 6 years ago
  • Updated almost 5 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Code of paper, Person-in-WiFi: Fine-grained Person Perception using WiFi

WiFi Perception

Code of paper, Person-in-WiFi: Fine-grained Person Perception using WiFi. In this paper, we tend to use WiFi to capture human pose and body. The paper is under review, due to IRB issues, we have not made code publicly. Still, we release data collection tools in this repo.

Updates

CSI tool now supports Ubuntu 18.04, Sep. 2019.

System

We use camera to capture human as annotations. Specifically, we use a Mask R-CNN implementation, detectorch to prepare human mask, and OpenPose python-api to prepare human pose, including pose coordinate arrays, joint heat maps, and part affinity field, with help of OpenPose developers, Gines and Raaj.

Meanwhile, we record WiFi signals to train a deep network.

system

Results

result