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A personally semantic place is a space that is frequently visited by an individual user and carries important semantic meanings (e.g. home, work, etc.) to the user. Many location-aware applications could be greatly enhanced by the ability of automatic discovery of personally semantic places. The discovery of a user's personally semantic places involves(More)
In this paper, we propose a system that detects traffic congestions by using cell phone accelerometers, which have many advantages (e.g. energy-efficient, unobtrusive, impervious to environmental noise, etc.). However, it is challenging to extract well-targeted and accurate features (e.g. speed) for detecting traffic congestions in a complex daily-living(More)