CRF-Prediction based Wi-Fi Fingerprinting for Room Level Localization

碩士 === 國立臺南大學 === 資訊工程學系碩士班 === 103 === The recent studies showed that people spend 70% of their time a day indoor. That means that people’s activities are primarily indoor. Therefore, Understanding people’s indoor activities and positions has been a popular subject. With the popularity of Wi-Fi hot...

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Bibliographic Details
Main Authors: You-Hsuan Li, 李侑軒
Other Authors: Chow-Sing Lin
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/66268144693066251948