{"title":"A Bluetooth-based minimum infrastructure home localisation system","authors":"Damian Kelly, S. McLoone, T. Dishongh","doi":"10.1109/ISWCS.2008.4726134","DOIUrl":null,"url":null,"abstract":"Indoor location tracking is a function best suited to wireless LAN devices. This generally precludes it from home use in isolated rural areas, where WLAN is a rare commodity. We propose an affordable localisation system which can be implemented using a variety of Bluetooth enabled mobile phones. This permits the incorporation of cellular network signal measurements as well as Bluetooth link measurements into the localisation framework. This paper presents a Hidden Markov Model localisation method, utilising the Viterbi algorithm, which enables single Bluetooth access point localisation. The improvement of accuracy this presents over a Naive Bayes classifier is illustrated, along with the optimal method of obtaining training data.","PeriodicalId":158650,"journal":{"name":"2008 IEEE International Symposium on Wireless Communication Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Symposium on Wireless Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWCS.2008.4726134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17
Abstract
Indoor location tracking is a function best suited to wireless LAN devices. This generally precludes it from home use in isolated rural areas, where WLAN is a rare commodity. We propose an affordable localisation system which can be implemented using a variety of Bluetooth enabled mobile phones. This permits the incorporation of cellular network signal measurements as well as Bluetooth link measurements into the localisation framework. This paper presents a Hidden Markov Model localisation method, utilising the Viterbi algorithm, which enables single Bluetooth access point localisation. The improvement of accuracy this presents over a Naive Bayes classifier is illustrated, along with the optimal method of obtaining training data.
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