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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mu Zhou Wong, A.K. Zengshan Tian Zhang, V.Y. Xiang Yu Xin Luo |
| Copyright Year | 1997 |
| Abstract | Mobility tracking plays an important role in identifying human activities and providing location-based services (LBSs). Up to now, with the help of special infrastructures or hardware devices, many existing tracking systems involve some cumbersome work of fingerprint or landmark calibration. In this letter, we present an adaptive mobility map construction scheme for large-scale Wi-Fi mobility tracking in indoor areas which does not require any off-line fingerprinting effort or deployment of landmarks. Our scheme works by collecting a large data-set of Wi-Fi received signal strength using a large number of cell phones carried by users during their normal daily activities. |
| Starting Page | 87 |
| Ending Page | 90 |
| Page Count | 4 |
| File Size | 473618 |
| File Format | |
| ISSN | 10897798 |
| Volume Number | 17 |
| Issue Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vectors IEEE 802.11 Standards Educational institutions Global Positioning System Eigenvalues and eigenfunctions Markov processes Mobile communication Kullback-Leibler divergence Mobility tracking Wi-Fi shotgun reads spectral clustering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Modeling and Simulation Computer Science Applications |
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