Smartphone based lifelog with meaningful place detection

With the advancement of electronic techniques, current smartphones can record location information with the help of WIFI signal, base station signal and Global Positioning System (GPS) receivers embedded in them. A smartphone can record where we go and where we stay. However, all the locations are recorded using latitude and longitude, which makes it hard for users to have an intuitive feelings of these data. In this paper, we propose a way to find places where users stay for a while to perform some activities with the location data tracked by smartphone, and use a cascade classifier to infer users' different activities in different places. With places and related activities, we can build a lifelog for smartphone users.