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[IEEE SECON 2022] "WiVelo: Fine-grained Walking Velocity Estimation for Wi-Fi Passive Tracking" by Chenning Li, Li Liu, Zhichao Cao, and Mi Zhang.

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WiVelo

This repository contains scripts and instructions for reproducing the experiments in our SECON'22 paper " WiVelo: Fine-grained Walking Velocity Estimation for Wi-Fi Passive Tracking".

Overview

dataset

Download datasets. We provide 144 CSI traces with 2 WiFI receivers from 3 users, 6 tracks, and 4 instances from https://drive.google.com/drive/folders/1XNAKy_SXm-bF929IUvcokgSlsOiuLd2E?usp=sharing

Repo Structure

/WiVelo
 ┬  
 ├ [DIR] wivelo_dataset  
 ┬    
     ├ [DIR] CSI  
     ├ [DIR] GROUNDTRUTH  
     └ [DIR] FEATURE  
 ├ [DIR] code

Instructions |

% remember to add the utility functions in ./util/ 
cd code    
matlab generate_ground_truth        % generate ground truth files
matlab main        % generate features and results, function generate_demo_real_trail() in line 110 will generate the real traces, its ground truth, locations of WiFi transmitter and receiver.

Notes

please cite our paper if you think the source codes are useful in your research project.

@inproceedings{wivelo_secon22,
    author = {Li, Chenning and Liu, Li and Cao, Zhichao and Zhang, Mi},
    title = {WiVelo: Fine-grained Walking Velocity Estimation for Wi-Fi Passive Tracking},
    year = {2022},
    booktitle = {Proceedings of IEEE SECON},
}

Contact

Zhichao Cao by caozc@msu.edu

About

[IEEE SECON 2022] "WiVelo: Fine-grained Walking Velocity Estimation for Wi-Fi Passive Tracking" by Chenning Li, Li Liu, Zhichao Cao, and Mi Zhang.

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