Indoor Localisation Based on Wi-Fi Fingerprinting with Deep Learning and Fuzzy Sets

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Jaehoon Cha (E-mail: Jaehoon.Cha_at_xjtlu.edu.cn; PhD Candidate, Department of Electrical and Electronic Engineering, XJTLU)

Ruihao Wang (E-mail: Ruihao.Wang14_at_student.xjtlu.edu.cn; Year 3, Department of Electrical and Electronic Engineering, XJTLU)
Haowei Song (E-mail: Haowei.Song14_at_student.xjtlu.edu.cn; Year 3, Department of Computer Science and Software Engineering, XJTLU)
Zikun Tan (E-mail: Zikun.Tan15_at_student.xjtlu.edu.cn; Year 2, Department of Electrical and Electronic Engineering, XJTLU)
Zhenghang Zhong (E-mail:Zhenghang.Zhong15_at_student.xjtlu.edu.cn; Year 2, Department of Electrical and Electronic Engineering, XJTLU)

Xi'an Jiaotong-Liverpool University Summer Undergraduate Research Fellowships (SURF) programme (under grant SURF-201739).

Kyeong Soo Kim, Ruihao Wang, Zhenghang Zhong, Zikun Tan, Haowei Song, Jaehoon Cha, and Sanghyuk Lee, "Large-scale location-aware services in access: Hierarchical building/floor classification and location estimation using Wi-Fi fingerprinting based on deep neural networks," (Extended version of the FOAN 2017 paper), Fiber and Integrated Optics, pp. 1-13, Apr. 27, 2018. (DOI)
Kyeong Soo Kim, Sanghyuk Lee, and Kaizhu Huang "A scalable deep neural network architecture for multi-building and multi-floor indoor localization based on Wi-Fi fingerprinting," Big Data Analytics, vol. 3, no. 4., pp. 1017, Apr. 19, 2018. (DOI) (arXiv)
Kyeong Soo Kim, Ruihao Wang, Zhenghang Zhong, Zikun Tan, Haowei Song, Jaehoon Cha, and Sanghyuk Lee, "Large-scale location-aware services in access: Hierarchical building/floor classification and location estimation using Wi-Fi fingerprinting based on deep neural networks," Proc. of FOAN 2017, Munich, Germany Nov. 7, 2017. (arXiv)

Paramvir Bahl and Venkata N. Padmanabhan, "RADAR: An In-Building RF-based User Location and Tracking System," Proc. INFOCOM 2000, pp. 1-10, 2000.
Michal Nowicki and Jan Wietrzykowski, "Low-effort place recognition with WiFi fingerprints using deep learning," arXiv, Apr. 2017.
- Keras implementation of the deep learning code
Keras: A high-level neural networks API, written in Python and capable of running on top of either TensorFlow or Theano; now part of TensorFlow distribution.
Shixiong Xia, Yi Liu, Guan Yuan, Mingjun Zhu, and Zhaohui Wang, "Indoor Fingerprint Positioning Based on Wi-Fi: An Overview," ISPRS Int. J. Geo-Inf. 2017, 6, 135, pp. 1-25, 2017.
UCI Machine Learning Repository, UJIIndoorLoc Data Set (fingerprint database for the above two papers and many others).
John S. Breese, David Heckerman, and Carl Kadie, "Empirical analysis of predictive algorithms for collaborative filtering," Tech. Report, MSR-TR-98-12, Microsoft, May 1, 1998.
CS246 Mining Massive Data Sets Winter 2017, Chapter 9. Recommendation systems, Stanford, 2017.

Liu Xuecheng, "Entropy, distance measure and similarity measure of fuzzy sets and their relations," Fuzzy Sets and Systems 52(3), pp. 305-318, Dec. 1992. (attached)
Sanghyuk Lee, Jaehoon Cha, Nipon Theera-Umpon, and Kyeong Soo Kim, "Analysis on similarity measure for non-overlapped data," symmetry, vol. 9, no. 5, pp. 1-11, May 2017.