larkspur-wang/wifiperson

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.

Results