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IMUWiFine: End-to-End Sequential Indoor Localization
Paper: End-to-End Sequential Indoor Localization Using Smartphone Inertial Sensors and WiFi
GitHub: https://github.com/IS2AI/IMUWiFine
Description: The IMUWiFine dataset comprises IMU and WiFi RSSI data readings recorded in sequential order with a fine spatiotemporal resolution. The dataset was collected on the fourth, fifth, and sixth floors of the C4 building at the Nazarbayev University campus. The total covered area is over 9, 000 m2 throughout the three floors.
| Specifications | Train | Valid | Test | Total |
|---|---|---|---|---|
| Number of trajectories | 60 | 30 | 30 | 120 |
| Number of samples | 3.1M | 1.2M | 1.1M | 5.4M |
| Total length (km) | 8.0 | 3.1 | 3.0 | 14.2 |
| Total duration (hours) | 5.5 | 2.5 | 2.4 | 10.4 |
Citation:
@INPROCEEDINGS{9708854,
author={Nurpeiissov, Mukhamet and Kuzdeuov, Askat and Assylkhanov, Aslan and Khassanov, Yerbolat and Varol, Huseyin Atakan},
booktitle={2022 IEEE/SICE International Symposium on System Integration (SII)},
title={End-to-End Sequential Indoor Localization Using Smartphone Inertial Sensors and WiFi},
year={2022},
pages={566-571},
doi={10.1109/SII52469.2022.9708854}}
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