Published October 18, 2024 | Version 1.0.0
Dataset Open

WiFiCam Dataset | Through-Wall Imaging based on WiFi Channel State Information

Description

Through-Wall Imaging based on WiFi Channel State Information

This repository contains the WiFiCam dataset for through-wall imaging based on WiFi channel state information proposed in [1]. The corresponding source code repository is located at: https://github.com/StrohmayerJ/wificam

The demo video (demo.mp4) showcases the through-wall imaging capabilities of our approach. 

 

Dataset Structure

/wificam

├── j3

       └── 320  <-- 320x240 resolution subset

              └── csi.csv <-- raw WiFi packet sequence recorded with the ESP32-S3

              └── csiComplex.npy <-- complex CSI sequence (cache)

              └── 92108.png <-- 320x240 RGB image

              └── 92112.png

              └── ...

       └── 640 <-- 640x480 resolution subset

              └── csi.csv <-- raw WiFi packet sequence recorded with the ESP32-S3

              └── csiComplex.npy <-- complex CSI sequence (cache)

              └── 154.png <-- 640x480 RGB image

              └── 155.png

              └── ...

├── statistics320.csv <-- per-channel means and standard deviations for 320x240 images

├── statistics640.csv <-- per-channel means and standard deviations for 640x480 images

 

Download and Use
This data may be used for non-commercial research purposes only. If you publish material based on this data, we request that you include a reference to our paper [1].

[1] J. Strohmayer, R. Sterzinger, C. Stippel and M. Kampel, "Through-Wall Imaging Based On WiFi Channel State Information," 2024 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, 2024, pp. 4000-4006, doi: 10.1109/ICIP51287.2024.10647775.

BibTeX:

@INPROCEEDINGS{10647775,
  author={Strohmayer, Julian and Sterzinger, Rafael and Stippel, Christian and Kampel, Martin},
  booktitle={2024 IEEE International Conference on Image Processing (ICIP)}, 
  title={Through-Wall Imaging Based On WiFi Channel State Information}, 
  year={2024},
  volume={},
  number={},
  pages={4000-4006},
  doi={10.1109/ICIP51287.2024.10647775}}

Files

demo.mp4

Files (5.7 GB)

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Additional details

Related works

Is published in
Conference paper: 10.1109/ICIP51287.2024.10647775 (DOI)

Dates

Available
2024-10-20

Software

Repository URL
https://github.com/StrohmayerJ/wificam
Programming language
Python
Development Status
Active