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.
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