Exploiting human mobility trajectory information in indoor device-free passive tracking
IPSN(2012)
摘要
Device-free passive (DfP) localization is proposed to localize human subjects indoors by observing how the subject disturbs the pattern of the radio signals without having the subject wear a tag. In our previous work, we have proposed a probabilistic classification based DfP technique, which we call PC-DfP in short, and demonstrated that PC-DfP can classify which cell (32 cells in total) is occupied by the stationary subject with an accuracy as high as 97.2% in a one-bedroom apartment. In this poster, we focus on extending PC-DfP to track a mobile subject in indoor environments by taking into consideration that a human subject's locations should form a continuous trajectory. Through experiments in a 10 × 15 meters open plan office, we show that we can achieve better accuracies by exploiting the property of continuous mobility trajectories.
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关键词
stationary subject,continuous trajectory,dfp technique,meters open plan office,indoor device-free passive tracking,human subject,better accuracy,indoor environment,device-free passive,mobile subject,human mobility trajectory information,continuous mobility trajectory,linear discriminant analysis,trajectory
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