Conformal Prediction for indoor localisation with fingerprinting method

Khuong An Nguyen, Zhiyuan Luo

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Abstract

Indoor localisation is the state-of-the-art to identify and observe a moving human or object inside a building. Location Fingerprinting is a cost-effective software-based solution utilising the built-in wireless signal of the building to estimate the most probable position of a real-time signal data. In this paper, we apply the Conformal Prediction (CP) algorithm to further enhance the Fingerprinting method. We design a new nonconformity measure with the Weighted K-nearest neighbours (W-KNN) as the underlying algorithm. Empirical results show good performance of the CP algorithm.
Original languageEnglish
Title of host publicationIFIP Advances in Information and Communication Technology
PublisherSpringer
Pages214-223
ISBN (Print)9783642334115
DOIs
Publication statusPublished - 2012

Publication series

NameIFIP Advances in Information and Communication Technology
PublisherSpringer
Volume382

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  • Cite this

    Nguyen, K. A., & Luo, Z. (2012). Conformal Prediction for indoor localisation with fingerprinting method. In IFIP Advances in Information and Communication Technology (pp. 214-223). (IFIP Advances in Information and Communication Technology; Vol. 382). Springer. https://doi.org/10.1007/978-3-642-33412-2_22