Abstract
This article proposes a technique to find and track persons carrying Wi-Fi devices. Our method integrates Wi-Fi signal strength information with LRF-based people-tracking results and estimates device holders from the statistical similarity of a time series of observed Wi-Fi signal strengths and predicted signal strengths based on the positions provided by people-tracking. Since human bodies significantly hinder radio transmission, our algorithm considers the Wi-Fi device location of the holding person. Experiment result revealed that our developed algorithm successfully found the device’s holder with 87.2% successful identification rate in a real environment.
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