A Framework for Infrastructure-Free Indoor Localization Based on Pervasive Sound Analysis
IEEE Sensors Journal(2018)
摘要
Even as modern indoor positioning systems become more precise and computationally lightweight, most rely on specific infrastructure to be installed, leading to increased setup and maintenance costs. As such, multiple infrastructure-free solutions were devised relying on signals such as magnetic field, ambient light, and movement. In this paper, we propose a framework for determining the user's loc...
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关键词
Feature extraction,Sensors,Spectrogram,Mel frequency cepstral coefficient,Support vector machines,Data mining
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