Name
Title | ||
|---|---|---|
Exploiting human mobility trajectory information in indoor device-free passive tracking |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2185677.2185707 | IPSN |
Keywords | Field | DocType |
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 | Passive tracking,Computer science,Real-time computing,Open plan,Linear discriminant analysis,Probabilistic classification,Trajectory | Conference |
Citations | PageRank | References |
3 | 0.59 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chenren Xu | 1 | 513 | 36.00 |
| Bernhard Firner | 2 | 494 | 23.49 |
| Yanyong Zhang | 3 | 3116 | 184.08 |
| Richard Howard | 4 | 311 | 25.10 |
| Jun Li | 5 | 107 | 6.38 |