Estimating location using Wi-Fi

Qiang YANG; Sinno Jialin PAN; Vincent Wenchen ZHENG; Hisashi KASHIMA; Shoko SUZUKI; Shohei HIDO; Yuta TSUBOI; Toshihiro TAKAHASHI; Tsuyoshi IDÉ; Rikiya TAKAHASHI; Akira TAJIMA; Yuichi KATORI; Yang QU; Chun LI; Xi-Zhao WANG; Feng GUO; Xianghui GUO; Zhuo SUN; Juan QI; Junfa Liu; Yiqiang Chen

doi:10.1109/MIS.2008.4

Estimating location using Wi-Fi

Qiang YANG^*, Sinno Jialin PAN, Vincent Wenchen ZHENG, Hisashi KASHIMA, Shoko SUZUKI, Shohei HIDO, Yuta TSUBOI, Toshihiro TAKAHASHI, Tsuyoshi IDÉ, Rikiya TAKAHASHI, Akira TAJIMA, Yuichi KATORI, Yang QU, Chun LI, Xi-Zhao WANG, Feng GUO, Xianghui GUO, Zhuo SUN, Juan QI, Junfa LiuYiqiang Chen

^*Corresponding author for this work

Research output: Journal Publications › Journal Article (refereed) › peer-review

82 Citations (Scopus)

Abstract

The 2007 Data Mining Contest, sponsored by the IEEE International Conference on Data Mining, demonstrated the first realistic public benchmark data for indoor location estimation using radio signal strength (RSS) that client device received from Wi-Fi access points. The contest focused on two tasks, including indoor location estimation and transferring knowledge learned from training data for indoor location estimation. Participants were asked to predict a client's location on the basis of RSS values received from Wi-Fi access points and were provided with a set of data including RSS values and location labels as training data. System science and data mining made localization through Wi-Fi and sensor feasible. This data mining contest brought several innovative solutions to this important problem and also presented new research issues, including transfer learning and semi-supervised learning.

Original language	English
Pages (from-to)	8-9
Number of pages	2
Journal	IEEE Intelligent Systems
Volume	23
Issue number	1
DOIs	https://doi.org/10.1109/MIS.2008.4
Publication status	Published - Jan 2008
Externally published	Yes

Bibliographical note

We thank contest co-chairs Gang Kou from Thomson Corporation and Chris Ding from the University of Texas, Arlington for their support. We also thank the ICDM 2007 conference organizers Yong Shi, Christopher W. Clifton, Naren Ramakrishnan, Osmar Zaiane, and Xin-dong Wu for their support.

We also thank Hanxue Hao, Sheng Xing, and Qian Li for their contribution.

Funding

We thank the Hong Kong Research Grants Council (grant 621307) for their support. We received grants 60473045 and 04213533 from the National Natural Science Foundation of China and support from the HeBei Top-100 Scientists Plan.

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10.1109/MIS.2008.4

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title = "Estimating location using Wi-Fi",

abstract = "The 2007 Data Mining Contest, sponsored by the IEEE International Conference on Data Mining, demonstrated the first realistic public benchmark data for indoor location estimation using radio signal strength (RSS) that client device received from Wi-Fi access points. The contest focused on two tasks, including indoor location estimation and transferring knowledge learned from training data for indoor location estimation. Participants were asked to predict a client's location on the basis of RSS values received from Wi-Fi access points and were provided with a set of data including RSS values and location labels as training data. System science and data mining made localization through Wi-Fi and sensor feasible. This data mining contest brought several innovative solutions to this important problem and also presented new research issues, including transfer learning and semi-supervised learning.",

author = "Qiang YANG and PAN, {Sinno Jialin} and ZHENG, {Vincent Wenchen} and Hisashi KASHIMA and Shoko SUZUKI and Shohei HIDO and Yuta TSUBOI and Toshihiro TAKAHASHI and Tsuyoshi ID{\'E} and Rikiya TAKAHASHI and Akira TAJIMA and Yuichi KATORI and Yang QU and Chun LI and Xi-Zhao WANG and Feng GUO and Xianghui GUO and Zhuo SUN and Juan QI and Junfa Liu and Yiqiang Chen",

note = "We thank contest co-chairs Gang Kou from Thomson Corporation and Chris Ding from the University of Texas, Arlington for their support. We also thank the ICDM 2007 conference organizers Yong Shi, Christopher W. Clifton, Naren Ramakrishnan, Osmar Zaiane, and Xin-dong Wu for their support. We also thank Hanxue Hao, Sheng Xing, and Qian Li for their contribution.",

year = "2008",

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AU - ZHENG, Vincent Wenchen

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AU - HIDO, Shohei

AU - TSUBOI, Yuta

AU - TAKAHASHI, Toshihiro

AU - IDÉ, Tsuyoshi

AU - TAKAHASHI, Rikiya

AU - TAJIMA, Akira

AU - KATORI, Yuichi

AU - QU, Yang

AU - LI, Chun

AU - WANG, Xi-Zhao

AU - GUO, Feng

AU - GUO, Xianghui

AU - SUN, Zhuo

AU - QI, Juan

AU - Liu, Junfa

AU - Chen, Yiqiang

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Estimating location using Wi-Fi

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