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- # WiFine: Fine-Grained WiFi Localization Dataset
 
 
 
 
 
 
 
 
 
 
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- The WiFine dataset is designed to enhance fine-grained WiFi localization, improving the accuracy and robustness of indoor positioning systems.
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- ## **Key Information**:
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- **Tags:**: WiFi, localization, indoor positioning, fine-grained
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- **Tasks:** Indoor localization
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- **Dataset Type:** Tabular
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+ ---
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+ license: mit
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+ tags:
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+ - wifi
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+ - localization
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+ pretty_name: wifine
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+ size_categories:
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+ - 100K<n<1M
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+ ---
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+ # WiFine
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+ **Paper:** [Finer-level Sequential WiFi-based Indoor Localization](https://ieeexplore.ieee.org/abstract/document/9382623)
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+ **GitHub:** [https://github.com/IS2AI/WiFine](https://github.com/IS2AI/WiFine)
 
 
 
 
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+ **Description:** A finer-level sequential dataset of WiFi received signal strengths (RSS).
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+ The dataset contains 290 trajectories collected across 3 floors of C4 building of Nazarbayev University.
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+ The RSS values with corresponding position coordinates (x,y,z) are recorded around every 5 seconds.
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+ | #Buildings | #Floors | #Wireless access points (WAP) | Area (m<sup>2</sup>)
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+ |:-----------:|:---------:|:-----------------------------:|:--------:
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+ | 1 | 3 | 436 |9,564
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+
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+ | Sets |#Trajectories |#Reference points (RP) |#Samples |Total length (m) | Total duration (s)
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+ |:---------:|:-------------:|:-----------------------:|:---------:|:---------------:|:---------:
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+ |Train |120 |18,975 |18,975 |≈31,814 |112,321
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+ |Validation |85 |3,034 |3,034 |≈4,789 |17,280
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+ |Test |85 |3,781 |3,781 |≈6,162 |22,116
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+ |**Total** |**290** |**25,790** |**25,790** |**≈42,765** |**151,717**
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+
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+
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+ **Citation:**
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+ ```bibtex
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+ @inproceedings{khassanov2021finer,
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+ title={Finer-level Sequential WiFi-based Indoor Localization},
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+ author={Khassanov, Yerbolat and Nurpeiissov, Mukhamet and Sarkytbayev, Azamat and Kuzdeuov, Askat and Varol, Huseyin Atakan},
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+ booktitle={2021 IEEE/SICE International Symposium on System Integration (SII)},
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+ pages={163--169},
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+ year={2021},
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+ organization={IEEE}
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+ }
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+ ```