@inproceedings{f923b532519344eeb623ee2c806dbd5c,
title = "Conformal Prediction for indoor localisation with fingerprinting method",
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.",
author = "Nguyen, {Khuong An} and Zhiyuan Luo",
year = "2012",
doi = "10.1007/978-3-642-33412-2_22",
language = "English",
isbn = "9783642334115",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer",
pages = "214--223",
booktitle = "IFIP Advances in Information and Communication Technology",
}