A hybrid floor identification algorithm based on Bayesian classification and special AP

Fang Zhao; Dan Luo; Wu Yuan; Haiyong Luo

doi:10.1109/ICInfA.2014.6932743

A hybrid floor identification algorithm based on Bayesian classification and special AP

Fang Zhao, Dan Luo, Wu Yuan, Haiyong Luo

School of Computer Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Accurately discriminating different floors is a very important task in indoor fingerprinting localization, which can be used to reduce space search domain and improve localization accuracy. There exist some research works for floor identification at present; however, the accuracy is not high. To achieve higher accuracy, this paper proposes a hybrid floor identification algorithm using Bayesian classification and special AP. By extracting the distribution feature of APs in different floors with training data, the proposed approach can determine floor efficiently with 100% accuracy.

Original language	English
Title of host publication	2014 IEEE International Conference on Information and Automation, ICIA 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	699-704
Number of pages	6
ISBN (Electronic)	9781479941001
DOIs	https://doi.org/10.1109/ICInfA.2014.6932743
Publication status	Published - 21 Oct 2014
Event	2014 IEEE International Conference on Information and Automation, ICIA 2014 - Hailar, Hulunbuir, China Duration: 28 Jul 2014 → 30 Jul 2014

Publication series

Name	2014 IEEE International Conference on Information and Automation, ICIA 2014

Conference

Conference	2014 IEEE International Conference on Information and Automation, ICIA 2014
Country/Territory	China
City	Hailar, Hulunbuir
Period	28/07/14 → 30/07/14

Keywords

Bayesian classification
floor identification
indoor positioning
smartphone

Access to Document

10.1109/ICInfA.2014.6932743

Cite this

Zhao, F., Luo, D., Yuan, W., & Luo, H. (2014). A hybrid floor identification algorithm based on Bayesian classification and special AP. In 2014 IEEE International Conference on Information and Automation, ICIA 2014 (pp. 699-704). Article 6932743 (2014 IEEE International Conference on Information and Automation, ICIA 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICInfA.2014.6932743

@inproceedings{19559d73f6bd44e49e1a8df235951ddc,

title = "A hybrid floor identification algorithm based on Bayesian classification and special AP",

abstract = "Accurately discriminating different floors is a very important task in indoor fingerprinting localization, which can be used to reduce space search domain and improve localization accuracy. There exist some research works for floor identification at present; however, the accuracy is not high. To achieve higher accuracy, this paper proposes a hybrid floor identification algorithm using Bayesian classification and special AP. By extracting the distribution feature of APs in different floors with training data, the proposed approach can determine floor efficiently with 100% accuracy.",

keywords = "Bayesian classification, floor identification, indoor positioning, smartphone",

author = "Fang Zhao and Dan Luo and Wu Yuan and Haiyong Luo",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE International Conference on Information and Automation, ICIA 2014 ; Conference date: 28-07-2014 Through 30-07-2014",

year = "2014",

month = oct,

day = "21",

doi = "10.1109/ICInfA.2014.6932743",

language = "English",

series = "2014 IEEE International Conference on Information and Automation, ICIA 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "699--704",

booktitle = "2014 IEEE International Conference on Information and Automation, ICIA 2014",

address = "United States",

}

Zhao, F, Luo, D, Yuan, W & Luo, H 2014, A hybrid floor identification algorithm based on Bayesian classification and special AP. in 2014 IEEE International Conference on Information and Automation, ICIA 2014., 6932743, 2014 IEEE International Conference on Information and Automation, ICIA 2014, Institute of Electrical and Electronics Engineers Inc., pp. 699-704, 2014 IEEE International Conference on Information and Automation, ICIA 2014, Hailar, Hulunbuir, China, 28/07/14. https://doi.org/10.1109/ICInfA.2014.6932743

A hybrid floor identification algorithm based on Bayesian classification and special AP. / Zhao, Fang; Luo, Dan; Yuan, Wu et al.
2014 IEEE International Conference on Information and Automation, ICIA 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 699-704 6932743 (2014 IEEE International Conference on Information and Automation, ICIA 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A hybrid floor identification algorithm based on Bayesian classification and special AP

AU - Zhao, Fang

AU - Luo, Dan

AU - Yuan, Wu

AU - Luo, Haiyong

PY - 2014/10/21

Y1 - 2014/10/21

N2 - Accurately discriminating different floors is a very important task in indoor fingerprinting localization, which can be used to reduce space search domain and improve localization accuracy. There exist some research works for floor identification at present; however, the accuracy is not high. To achieve higher accuracy, this paper proposes a hybrid floor identification algorithm using Bayesian classification and special AP. By extracting the distribution feature of APs in different floors with training data, the proposed approach can determine floor efficiently with 100% accuracy.

AB - Accurately discriminating different floors is a very important task in indoor fingerprinting localization, which can be used to reduce space search domain and improve localization accuracy. There exist some research works for floor identification at present; however, the accuracy is not high. To achieve higher accuracy, this paper proposes a hybrid floor identification algorithm using Bayesian classification and special AP. By extracting the distribution feature of APs in different floors with training data, the proposed approach can determine floor efficiently with 100% accuracy.

KW - Bayesian classification

KW - floor identification

KW - indoor positioning

KW - smartphone

UR - http://www.scopus.com/inward/record.url?scp=84914155037&partnerID=8YFLogxK

U2 - 10.1109/ICInfA.2014.6932743

DO - 10.1109/ICInfA.2014.6932743

M3 - Conference contribution

AN - SCOPUS:84914155037

T3 - 2014 IEEE International Conference on Information and Automation, ICIA 2014

SP - 699

EP - 704

BT - 2014 IEEE International Conference on Information and Automation, ICIA 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE International Conference on Information and Automation, ICIA 2014

Y2 - 28 July 2014 through 30 July 2014

ER -

Zhao F, Luo D, Yuan W, Luo H. A hybrid floor identification algorithm based on Bayesian classification and special AP. In 2014 IEEE International Conference on Information and Automation, ICIA 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 699-704. 6932743. (2014 IEEE International Conference on Information and Automation, ICIA 2014). doi: 10.1109/ICInfA.2014.6932743

A hybrid floor identification algorithm based on Bayesian classification and special AP

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this