• openAccess   A Low-Cost Control Occupancy Solution Using a Time-of-Flight Ranging Sensor Laser 

      Bartrés Jurado, Enric; Trilles, Sergio; Perez-Navarro, Antoni; Torres-Sospedra, Joaquín CEUR Workshop Proceedings (2022)
      The pandemic situation has driven to several measures to prevent the spread of COVID-19. One of these measures is social distance and, as a consequence, limitation of capacity of indoor closed spaces. This makes necessary ...
    • openAccess   Anonymous Attribute-based Credentials in Collaborative Indoor Positioning Systems 

      Casanova-Marqués, Raúl; Pascacio, Pavel; Hajny, Jan; Torres-Sospedra, Joaquín SciTePress (2021-07-06)
      Collaborative Indoor Positioning Systems (CIPSs) have recently received considerable attention, mainly because they address some existing limitations of traditional Indoor Positioning Systems (IPSs). In CIPSs, Bluetooth ...
    • closedAccess   Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets 

      Quezada Gaibor, Darwin; Klus, Lucie; Torres-Sospedra, Joaquín; Lohan, Elena Simona; Nurmi, Jari; Granell, Carlos; Huerta, Joaquin IEEE (2022)
      Wearable and IoT devices requiring positioning and localisation services grow in number exponentially every year. This rapid growth also produces millions of data entries that need to be pre-processed prior to being ...
    • openAccess   Ensembling Multiple Radio Maps with Dynamic Noise in Fingerprint-based Indoor Positioning 

      Torres-Sospedra, Joaquín; Aranda Polo, Fernando Jesús; Álvarez, Fernando J.; Quezada Gaibor, Darwin; Silva, Ivo; Pendão, Cristiano; Moreira, Adriano Institute of Electrical and Electronics Engineers (2021-06-15)
      Fingerprint-based indoor positioning is widely used in many contexts, including pedestrian and autonomous vehicles navigation. Many approaches have used traditional Machine Learning models to deal with fingerprinting, ...
    • closedAccess   Evaluating Indoor Localization Solutions in Large Environments Through Competitive Benchmarking: The EvAAL-ETRI Competition 

      Potortì, Francesco; Barsocchi, Paolo; GIROLAMI, MICHELE; Torres-Sospedra, Joaquín; Montoliu Colás, Raul IEEE (2015)
      The increasing demand for services and higher comfort levels inside buildings, together with the rise in time spent indoor, ensure an upward trend in indoor localization demand for the future. Evaluation of indoor localization ...
    • openAccess   Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices 

      Quezada Gaibor, Darwin; Klus, Lucie; Torres-Sospedra, Joaquín; Lohan, Elena Simona; Nurmi, Jari; Huerta, Joaquin IEEE (2020-10-05)
      IoT devices and wearables may rely on Wi-Fi finger-printing to estimate the position indoors. The limited resources of these devices make it necessary to provide adequate methods to reduce the operational computational ...
    • closedAccess   Lightweight Hybrid CNN-ELM Model for Multi-building and Multi-floor Classification 

      Quezada Gaibor, Darwin; Torres-Sospedra, Joaquín; Nurmi, Jari; Koucheryavy, Yevgeni; Huerta, Joaquin IEEE (2022)
      Machine learning models have become an essential tool in current indoor positioning solutions, given their high capabilities to extract meaningful information from the environment. Convolutional neural networks (CNNs) ...
    • openAccess   Lightweight Wi-Fi Fingerprinting with a Novel RSS Clustering Algorithm 

      Quezada Gaibor, Darwin; Torres-Sospedra, Joaquín; Nurmi, Jari; Koucheryavy, Yevgeni; Huerta, Joaquin IEEE (2021-11-29)
      Nowadays, several indoor positioning solutions sup-port Wi-Fi and use this technology to estimate the user position. It is characterized by its low cost, availability in indoor and outdoor environments, and a wide variety ...
    • openAccess   Local-level Analysis of Positioning Errors in Wi-Fi Fingerprinting 

      Mendoza-Silva, Germán Martín; Torres-Sospedra, Joaquín; Huerta, Joaquin IEEE (2021-04-25)
      Nowadays, Location Based Services run over a net of heterogeneous devices (mainly smartphones) with different location capabilities thanks to, for instance, signals of opportunity as Wi-Fi. In contrast to professional ...
    • closedAccess   Locations Selection for Periodic Radio Map Update in WiFi Fingerprinting 

      Mendoza-Silva, Germán Martín; Torres-Sospedra, Joaquín; Huerta, Joaquin Springer (2018)
      The construction and update of a radio map are usually referred as the main drawbacks of WiFi fingerprinting, a very popular method in indoor localization research. For radio map update, some studies suggest taking new ...
    • openAccess   Magnetic Field as a Characterization of Wide and Narrow Spaces in a Real Challenging Scenario Using Dynamic Time Warping 

      Perez-Navarro, Antoni; Montoliu Colás, Raul; Torres-Sospedra, Joaquín; Conesa, Jordi Institute of Electrical and Electronics Engineers (2018-11-15)
      This paper presents a study of indoor positioning in public zones of the Parc Taulí Hospital in Sabadell. It is a challenging scenario because: (1) it combines wide spaces with middle sized and narrow spaces; (2) it is a ...
    • openAccess   Magnetic field based Indoor positioning using the Bag of Words paradigm 

      Montoliu Colás, Raul; Torres-Sospedra, Joaquín; Belmonte-Fernández, Óscar Institute of Electrical and Electronics Engineers (2016-11-17)
      In this paper, A Bag of Words based method is presented to test a magnetic field based indoor positioning method. The Indoor positioning problem is solved as a pattern recognition problem, where each reference point is a ...
    • openAccess   New Cluster Selection and Fine-grained Search for k-Means Clustering and Wi-Fi Fingerprinting 

      Torres-Sospedra, Joaquín; Quezada Gaibor, Darwin; Mendoza-Silva, Germán Martín; Nurmi, Jari; Koucheryavy, Yevgeni; Huerta, Joaquin IEEE (2020-06-02)
      Wi-Fi fingerprinting is a popular technique for Indoor Positioning Systems (IPSs) thanks to its low complexity and the ubiquity of WLAN infrastructures. However, this technique may present scalability issues when the ...
    • openAccess   Optimal Receivers Location for Passive Indoor Positioning based on BLE 

      De Brouwer, Roald; Torres-Sospedra, Joaquín; Trilles, Sergio; Berkvens, Rafael CEUR Workshop Proceedings (2021-11)
      Indoor Positioning Systems are attracting many researchers, being Bluetooth Low Energy gaining some attention recently. The recent need to track people, ensuring low density of people in some areas, made the research ...
    • openAccess   Privacy in Indoor Positioning Systems: A Systematic Review 

      Holcer, Sylvia; Torres-Sospedra, Joaquín; Gould, Michael; Remolar, Inmaculada IEEE (2020)
      This article presents a systematic review of privacy in indoor positioning systems. The selected 41 articles on location privacy preserving mechanisms employ non-inherently private methods such as encryption, k-anonymity, ...
    • openAccess   RSS Fingerprinting Dataset Size Reduction Using Feature-Wise Adaptive k-Means Clustering 

      Klus, Lucie; Quezada Gaibor, Darwin; Torres-Sospedra, Joaquín; Lohan, Elena Simona; Granell, Carlos; Nurmi, Jari IEEE (2020-10)
      Modern IoT devices, that include smartphones and wearables, usually have limited resources. They require efficient methods to optimize the use of internal storage, provide computational efficiency, and reduce energy ...
    • openAccess   Smartphone Distance Estimation Based on RSSI-Fuzzy Classification Approach 

      Pascacio, Pavel; Casteleyn, Sven; Torres-Sospedra, Joaquín Institute of Electrical and Electronics Engineers (2021-06-15)
      Positioning people indoors has known an exponential growth in the last few years, especially thanks to Bluetooth Low Energy (BLE) technology and the Received Signal Strength Indicator (RSSI) technique. This approach is ...
    • closedAccess   Temporal stability on human activity recognition based on Wi-Fi CSI 

      Matey-Sanz, Miguel; Torres-Sospedra, Joaquín; Moreira, Adriano IEEE (2023-12-06)
      Over the last years, numerous studies have emerged using Wi-Fi channel state information, enabling device-free (passive) sensing for applications such as motion detection, indoor positioning or human activity recognition. ...
    • closedAccess   Towards Accelerated Localization Performance Across Indoor Positioning Datasets 

      Klus, Lucie; Quezada Gaibor, Darwin; Torres-Sospedra, Joaquín; Lohan, Elena Simona; Granell, Carlos; Nurmi, Jari IEEE (2022)
      The localization speed and accuracy in the indoor scenario can greatly impact the Quality of Experience of the user. While many individual machine learning models can achieve comparable positioning performance, their ...
    • openAccess   Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets 

      Torres-Sospedra, Joaquín; Silva, Ivo; Klus, Lucie; Quezada Gaibor, Darwin; Crivello, Antonino; Barsocchi, Paolo; Pendão, Cristiano; Lohan, Elena Simona; Nurmi, Jari; Moreira, Adriano IEEE (2021-11-29)
      The evaluation of Indoor Positioning Systems (IPSs) mostly relies on local deployments in the researchers’ or partners’ facilities. The complexity of preparing comprehensive experiments, collecting data, and considering ...