Preliminary Investigation of Low-cost Device-free Passive Indoor\nPositioning using Model Transfer

カテゴリ: 国際会議

論文No: PS-01

グループ名: ACIS2015

発行日: 2015/10/15

著者名(英語): Kazuya Ohara(Osaka University), Takuya Maekawa (Osaka University),Yasue Kishino(NTT Communication Science Laboratories), Yoshinari Shirai (NTT Communication Science Laboratories),Futoshi Naya(NTT Communication Science Laboratories)

キーワード: Device-free positioning, transfer\nlearning, Wi-Fi fingerprinting, particle filter

要約(英語): Recently, Wi-Fi based device-free indoor positioning techniques have been attracting attention, which enable us to locate an end user who does not possess a smartphone based on Received Signal Strength Indication (RSSI) attenuation caused by human body. However, devicefree indoor positioning techniques require large quantities of training data in a target environment. In this study, we propose a device-free positioning method that transfers training data collected in other environments to a target environment in order to reduce an training cost of positioning systems.

原稿種別: 英語

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