WiFine

A finer-level sequential dataset of WiFi received signal strengths (RSS). The dataset contains 290 trajectories collected across 3 floors of C4 building of Nazarbayev University. The RSS values with corresponding position coordinates (x,y,z) are recorded around every 5 seconds.

Dataset statistics

#Buildings	#Floors	#Wireless access points (WAP)	Area (m2)
1	3	436	9,564

Sets	#Trajectories	#Reference points (RP)	#Samples	Total length (m)	Total duration (s)
Train	120	18,975	18,975	≈31,814	112,321
Validation	85	3,034	3,034	≈4,789	17,280
Test	85	3,781	3,781	≈6,162	22,116
Total	290	25,790	25,790	≈42,765	151,717

Citation

@inproceedings{khassanov2021finer,
  title={Finer-level Sequential WiFi-based Indoor Localization},
  author={Khassanov, Yerbolat and Nurpeiissov, Mukhamet and Sarkytbayev, Azamat and Kuzdeuov, Askat and Varol, Huseyin Atakan},
  booktitle={2021 IEEE/SICE International Symposium on System Integration (SII)},
  pages={163--169},
  year={2021},
  organization={IEEE}
}