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학술대회 Rethinking of Feature Selection Method for Room-Level Localization using Public APs
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저자
김영삼, 김수형
발행일
201702
출처
International Conference on Advanced Communication Technology (ICACT) 2017, pp.24-28
DOI
https://dx.doi.org/10.23919/ICACT.2017.7890050
협약과제
16MH1500, 상황인지기반 멀티팩터 인증 및 전자서명을 제공하는 범용인증플랫폼기술 개발, 김수형
초록
As WiFi infrastructures and smartphones are propagated widely various WiFi fingerprint-based indoor localization system has been proposed. One of the approaches to improve the accuracy is the feature selection method that analyse the characteristics of WiFi RSSI and construct fingerprint database. However, none of the previous studies analysed about the number of features selected despite the fact that it is important in practical system. In this paper, we propose the feature selection method with characteristics of constancy and strength and evaluate the performance according to the number of features selected.
KSP 제안 키워드
Feature selection(FS), Fingerprint database, Indoor localization system, Public APs, WiFi RSSI, WiFi fingerprint, feature selection method