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Joint Activity Recognition and Indoor Localization via Regularized Multi-Label Learning

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JARIL

Y. Wang, H. Zhao, T. Ohtsuki, H. Sari and G. Gui, "Regularized Multi-Label Learning Empowered Joint Activity Recognition and Indoor Localization with CSI Fingerprints," in IEEE Transactions on Wireless Communications, doi: 10.1109/TWC.2024.3447786.

The code for test is published!

Requirement

torch                              1.11.0+cu113

torchaudio                         0.11.0+cu113

torchsummary                       1.5.1

torchvision                        0.12.0+cu113

Python                             3.8.5

File directory description

filetree 
├── README.md
├── /data/
│  ├── test_data_split_amp.mat
|  └── train_data_split_amp.mat
├── models
│  ├── XceptionTime_model.py
|  └── layers.py
├── weights
|  └── XceptionTime_CSIMix_2.0.pkl
├── result
├── vis
├── train_CSIMix.py
└── test.py

Performance

AR accuracy: 0.9172661870503597; AUC: 0.9919091183016525

IL precision: 0.9964028776978417

License / 许可证

本项目基于自定义非商业许可证发布,禁止用于任何形式的商业用途。

This project is distributed under a custom non-commercial license. Any form of commercial use is prohibited.

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