@inproceedings{4bc58e43956242faa40b753ad4f7cbd5,
title = "A region-based approach for RSS indoor localization",
abstract = "In this paper, we proposed a region-based approach for indoor localization based on the fingerprint of radio signal strength (RSS). Unlike conventional fingerprint-based methods that based on point information to infer user's location, we used region information for indoor localization. Our results show that the proposed system has better positioning accuracy and more robustness to signal noise and dynamic environment.",
keywords = "Estimation, Fingerprint recognition, Kernel, Noise, Sensors, Testing, Training",
author = "Manh, {Hung Nguyen} and Ching-Chun Huang and Lee Hsiao-Yi",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 ; Conference date: 06-06-2015 Through 08-06-2015",
year = "2015",
month = aug,
day = "20",
doi = "10.1109/ICCE-TW.2015.7217041",
language = "English",
series = "2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "80--81",
booktitle = "2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015",
address = "美國",
}