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xyanchen authored Jul 19, 2022
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# SenseFi: A Benchmark for WiFi CSI Sensing
## Introduction
SenseFi is the first open-source benchmark and library for WiFi CSI human sensing, implemented by PyTorch. The state-of-the-art networks, including MLP, CNN, RNN, Transformers, etc, are evaluated on four public datasets across different WiFi CSI platforms. The details are illustrated in our paper [*Deep Learning and Its Applications to WiFi Human Sensing: A Benchmark and A Tutorial*]().
SenseFi is the first open-source benchmark and library for WiFi CSI human sensing, implemented by PyTorch. The state-of-the-art networks, including MLP, CNN, RNN, Transformers, etc, are evaluated on four public datasets across different WiFi CSI platforms. The details are illustrated in our paper [*Deep Learning and Its Applications to WiFi Human Sensing: A Benchmark and A Tutorial*](https://arxiv.org/abs/2207.07859).

```
(wait for Arxiv)
@misc{https://doi.org/10.48550/arxiv.2207.07859,
doi = {10.48550/ARXIV.2207.07859},
url = {https://arxiv.org/abs/2207.07859},
author = {Yang, Jianfei and Chen, Xinyan and Wang, Dazhuo and Zou, Han and Lu, Chris Xiaoxuan and Sun, Sumei and Xie, Lihua},
keywords = {Machine Learning (cs.LG), Artificial Intelligence (cs.AI), Signal Processing (eess.SP), FOS: Computer and information sciences, FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering},
title = {Deep Learning and Its Applications to WiFi Human Sensing: A Benchmark and A Tutorial},
publisher = {arXiv},
year = {2022},
copyright = {arXiv.org perpetual, non-exclusive license}
}
@article{yang2022,
title={Deep Learning and Its Applications to WiFi Human Sensing: A Benchmark and A Tutorial},
author={Yang, Jianfei and Chen, Xinyan and Wang, Dazhuo and Zou, Han and Lu, Chris Xiaoxuan and Sun, Sumei and Xie, Lihua},
year={2022},
publisher={arXiv}
}
```

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