@inproceedings{40b134dad6af48158760fe939cbe1343,
title = "Auto-calibration for device-diversity problem in an indoor localization system",
abstract = "Recently, the techniques for indoor localization have become more and more important and play a critical role in many mobile applications. Among them, the fingerprint-based indoor localization system has been recognized as a possible right way toward success. However, some challenges still remain. One issue should be addressed is the device diversity problem, where different devices would receive different radio signal strengths (RSS) at the same location. This problem breaks the fingerprint assumption - each location has its singular RSS. Conventional calibration methods require manually collecting pair-wise RSS data among devices to train the calibration model. To reduce human load, we proposed a method that could automatically calibrate the device diversity problem in an efficient way.",
keywords = "Calibration, Fingerprint recognition, IEEE 802.11 Standard, Mobile handsets, 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.2015.7217040",
language = "English",
series = "2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "78--79",
booktitle = "2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015",
address = "美國",
}