Exploiting Joint Wifi/Bluetooth Trace to Predict People Movement
Source: University of Illinois
It is well known that the daily movement of people exhibits a high degree of repetition in which people usually stay at regular places for their daily activities. This paper presents a novel framework to construct a predictive model by exploiting the regularity of people movement found in the collected joint Wifi/Bluetooth trace. The obtained predictive model is able to answer three fundamental questions: Where the person will stay at a future time, how long she will stay at the location, and who she will meet at a future time.