Listar INIT_Articles por autoría "94f932f8-461f-4603-9a49-9ccfb9d78b59"
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A Collaborative Approach Using Neural Networks for BLE-RSS Lateration-Based Indoor Positioning
Pascacio, Pavel; Torres-Sospedra, Joaquín; Casteleyn, Sven; Lohan, Elena Simona IEEE (2022)In daily life, mobile and wearable devices with high computing power, together with anchors deployed in indoor environments, form a common solution for the increasing demands for indoor location-based services. Within ... -
A Comprehensive and Reproducible Comparison of Clustering and Optimization Rules in Wi-Fi Fingerprinting2020
Torres-Sospedra, Joaquín; Richter, Philipp; Moreira, Adriano; Mendoza-Silva, Germán Martín; Lohan, Elena Simona; Trilles, Sergio; Matey-Sanz, Miguel; Huerta, Joaquin IEEE (2020-08-17)Wi-Fi fingerprinting is a well-known technique used for indoor positioning. It relies on a pattern recognition method that compares the captured operational fingerprint with a set of previously collected reference samples ... -
Collaborative Indoor Positioning Systems: A Systematic Review
Pascacio, Pavel; Casteleyn, Sven; Torres-Sospedra, Joaquín; Lohan, Elena Simona; Nurmi, Jari MDPI (2021)Research and development in Collaborative Indoor Positioning Systems (CIPSs) is growing steadily due to their potential to improve on the performance of their non-collaborative counterparts. In contrast to the outdoors ... -
Direct lightweight temporal compression for wearable sensor data
Klus, Lucie; Klus, Roman; Lohan, Elena Simona; Granell, Carlos; Talvitie, Jukka; Valkama, Mikko; Nurmi, Jari IEEE (2021-02-01)Emerging technologies enable massive deployment of wireless sensor networks across many industries. Internet of Things (IoT) devices are often deployed in critical infrastructure or health monitoring and require fast ... -
Long-Term WiFi Fingerprinting Dataset for Research on Robust Indoor Positioning
Mendoza-Silva, Germán Martín; Richter, Philipp; Torres-Sospedra, Joaquín; Lohan, Elena Simona; Huerta, Joaquin MDPI (2018-01-16)WiFi fingerprinting, one of the most popular methods employed in indoor positioning, currently faces two major problems: lack of robustness to short and long time signal changes and difficult reproducibility of new methods ... -
Scalable and Efficient Clustering for Fingerprint-Based Positioning
Torres-Sospedra, Joaquín; Quezada Gaibor, Darwin; Nurmi, Jari; Koucheryavy, Yevgeni; Lohan, Elena Simona; Huerta, Joaquin IEEE (2023)Abstract: Indoor positioning based on IEEE 802.11 wireless LAN (Wi-Fi) fingerprinting needs a reference data set, also known as a radio map, in order to match the incoming fingerprint in the operational phase with the ... -
Survey of Decentralized Solutions with Mobile Devices for User Location Tracking, Proximity Detection, and Contact Tracing in the COVID-19 Era
Shubina, Viktoriia; Holcer, Sylvia; Gould, Michael; Lohan, Elena Simona MDPI (2020-09-23)Some of the recent developments in data science for worldwide disease control have involved research of large-scale feasibility and usefulness of digital contact tracing, user location tracking, and proximity detection ... -
TUJI1 Dataset: Multi-device dataset for indoor localization with high measurement density
Klus, Lucie; Klus, Roman; Lohan, Elena Simona; Nurmi, Jari; Granell, Carlos; Valkama, Mikko; Talvitie, Jukka; Casteleyn, Sven; Torres-Sospedra, Joaquín Elsevier (2024-03-22)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 ... -
Wi-Fi Crowdsourced Fingerprinting Dataset for Indoor Positioning
Lohan, Elena Simona; Torres-Sospedra, Joaquín; Leppäkoski, Helena; Richter, Philipp; Peng, Zhe; Huerta, Joaquin MDPI (2017-10-03)Benchmark open-source Wi-Fi fingerprinting datasets for indoor positioning studies are still hard to find in the current literature and existing public repositories. This is unlike other research fields, such as the image ...