Listar por tema "Wi-Fi fingerprinting"

Mostrando ítems 1-13 de 13

    • openAccess   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 ...

    • openAccess   A Generative Method for Indoor Localization Using Wi-Fi Fingerprinting 

      Belmonte-Fernández, Óscar; Sansano-Sansano, Emilio; Caballer Miedes, Antonio; Montoliu Colás, Raul; García-Vidal, Rubén; Gascó Compte, Arturo MDPI (2021-03-30)
      Indoor localization is an enabling technology for pervasive and mobile computing applications. Although different technologies have been proposed for indoor localization, Wi-Fi fingerprinting is one of the most used ...

    • openAccess   A realistic evaluation of indoor positioning systems based on Wi-Fi fingerprinting: The 2015 EvAAL–ETRI competition 

      Torres-Sospedra, Joaquín; Moreira, Adriano; Knauth, Stefan; Berkvens, Rafael; Montoliu Colás, Raul; Belmonte-Fernández, Óscar; Trilles, Sergio; Nicolau, Maria João; Meneses, Filipe; Costa, António; Koukofikis, Athanasios; Weyn, Maarten; Peremans, Herbert IOS press (2017-02)
      This paper presents results from comparing different Wi-Fi fingerprinting algorithms on the same private dataset. The algorithms where realized by independent teams in the frame of the off-site track of the EvAAL–ETRI ...

    • openAccess   Autoencoder Extreme Learning Machine for Fingerprint-Based Positioning: A Good Weight Initialization is Decisive 

      Quezada Gaibor, Darwin; Klus, Lucie; Klus, Roman; Lohan, Elena Simona; Nurmi, Jari; Valkama, Mikko; Huerta, Joaquin IEEE (2023-07-27)
      Indoor positioning based on machine-learning (ML) models has attracted widespread interest in the last few years, given its high performance and usability. Supervised, semisupervised, and unsupervised models have thus been ...

    • openAccess   Beyond Euclidean Distance for Error Measurement in Pedestrian Indoor Location 

      Mendoza-Silva, Germán Martín; Torres-Sospedra, Joaquín; Potortì, Francesco; Moreira, Adriano; Knauth, Stefan; Berkvens, Rafael; Huerta, Joaquin Institute of Electrical and Electronics Engineers (2020-09-04)
      Indoor positioning systems (IPSs) suffer from a lack of standard evaluation procedures enabling credible comparisons: this is one of the main challenges hindering their widespread market adoption. Traditionally, accuracy ...

    • 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 ...

    • 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   Off-Line Evaluation of Mobile-Centric Indoor Positioning Systems: The Experiences from the 2017 IPIN Competition 

      Torres-Sospedra, Joaquín; Jiménez, Antonio R.; Moreira, Adriano; Lungenstrass, Tomás; Lu, Wei-Chung; Knauth, Stefan; Mendoza-Silva, Germán Martín; Seco, Fernando; Perez-Navarro, Antoni; Nicolau, Maria João; Costa, António; Meneses, Filipe; Farina, Joaquín; Morales, Juan Pablo; Lu, Wen-Chen; Cheng, Ho-Ti; Yang, Shi-Shen; Fang, Shih-Hau; Chien, Ying-Ren; Tsao, Yu MDPI (2018)
      The development of indoor positioning solutions using smartphones is a growing activity with an enormous potential for everyday life and professional applications. The research activities on this topic concentrate on the ...

    • openAccess   Providing Databases for Different Indoor Positioning Technologies: Pros and Cons of Magnetic Field and Wi-Fi Based Positioning 

      Torres-Sospedra, Joaquín; Montoliu Colás, Raul; Mendoza-Silva, Germán Martín; Belmonte-Fernández, Óscar; Rambla Risueño, David; Huerta, Joaquin Hindawi Publishing Corporation (2016)
      Localization is one of the main pillars for indoor services. However, it is still very difficult for the mobile sensing community to compare state-of-the-art indoor positioning systems due to the scarcity of publicly ...

    • openAccess   The IPIN 2019 Indoor Localisation Competition—Description and Results 

      Potortì, Francesco; Park, Sangjoon; Crivello, Antonino; Palumbo, Filippo; GIROLAMI, MICHELE; Barsocchi, Paolo; Lee, Soyeon; Torres-Sospedra, Joaquín; Jimenez Ruiz, Antonio Ramon; Perez-Navarro, Antoni; Mendoza-Silva, Germán Martín; Seco, Fernando; ortiz, miguel; PERUL, Johan; Renaudin, Valerie; Kang, Hyunwoong; Park, Soyoung; Lee, Jae Hong; Park, Chan Gook; Ha, Jisu; Han, JaeSeung; Park, Changjun; Kim, Keunhye; Lee, Yonghyun; Gye, Seunghun; lee, keumryeol; Kim, Eunjee; Choi, Jeongsik; choi, Yang-Seok; Talwar, Shilpa; Cho, Seong Yun; Ben-Moshe, Boaz; Scherbakov, Alex; Antsfeld, Leonid; Sansano-Sansano, Emilio; Chidlovskii, Boris; Kronenwett, Nikolai; Prophet, Silvia; Landay, Yael; Marbel, Revital; Zheng, Lingxiang; Peng, Ao; Lin, Zhichao; Wu, Bang; Ma, Chengqi; Poslad, Stefan; Selviah, David; Wu, Wei; Ma, Zixiang; Zhang, Wenchao; Wei, Dongyan; Yuan, Hong; Jiang, Jun-Bang; Huang, Shao-Yung; Liu, Jing-Wen; Su, Kuan-Wu; Leu, Jenq-Shiou; Nishiguchi, Kazuki; BOUSSELHAM, Walid; Uchiyama, Hideaki; Thomas, Diego; Shimada, Atsushi; Taniguchi, Rin-ichiro; Cortés Puschel, Vicente; Lungenstrass, Tomás; Ashraf, Imran; Lee, Chanseok; Ali, Muhammad Usman; Im, Yeongjun; Kim, Gunzung; Eom, Jeongsook; Hur, Soojung; Park, Yongwan; Opiela, Miroslav; Moreira, Adriano; Nicolau, Maria João; Pendão, Cristiano; Silva, Ivo; Meneses, Filipe; Costa, António; Trogh, Jens; Plets, David; Chien, Ying-Ren; Chang, Tzu-Yu; Fang, Shih-Hau; Tsao, Yu IEEE (2020-11-10)
      IPIN 2019 Competition, sixth in a series of IPIN competitions, was held at the CNR Research Area of Pisa (IT), integrated into the program of the IPIN 2019 Conference. It included two on-site real-time Tracks and three ...