TUJI1 Dataset: Multi-device dataset for indoor localization with high measurement density

Lucie Klus, Roman Klus, Elena Simona Lohan, Jari Nurmi, Carlos Granell, Mikko Valkama, Jukka Talvitie, Sven Casteleyn, Joaquín Torres-Sospedra

Research output: Contribution to journalData articlepeer-review

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Positioning in indoor scenarios using signals of opportunity is an effective solution enabling accurate and reliable performance in Global Navigation Satellite System (GNSS)-obscured scenarios. Despite the availability of numerous fingerprinting datasets utilizing various wireless signals, the challenge of device heterogeneity and sample density remains an unanswered issue. To address this gap, this work introduces TUJI1, an anonymized IEEE 802.11 Wireless LAN (Wi-Fi) fingerprinting dataset collected using 5 different commercial devices in a fine-grained grid. The dataset contains the matched fingerprints of Received Signal Strength Indicator (RSSI) measurements with the corresponding coordinates, split into training and testing subsets for effortless and fair reproducibility.
Original languageEnglish
Article number110356
JournalData in Brief
Publication statusPublished - Jun 2024
Publication typeA1 Journal article-refereed


  • Device heterogeneity
  • Fingerprinting
  • Indoor positioning
  • Localization
  • RSS
  • RSSI
  • Wi-Fi

Publication forum classification

  • Publication forum level 1


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