Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
515001 | Information Processing & Management | 2012 | 12 Pages |
Personal mobile devices such as cellular phones, smart phones and PMPs have advanced incredibly in the past decade. The mobile technologies make research on the life log and user-context awareness feasible. In other words, sensors in mobile devices can collect the variety of user’s information, and various works have been conducted using that information. Most of works used a user’s location information as the most useful clue to recognize the user context. However, the location information in the conventional works usually depends on a GPS receiver that has limited function, because it cannot localize a person in a building and thus lowers the performance of the user-context awareness. This paper develops a system to solve such problems and to infer a user’s hidden information more accurately using Bayesian network and indoor-location information. Also, this paper presents a new technique for localization in a building using a decision tree and signals for the Wireless LAN because the decision tree has many advantages which outweigh other localization techniques.
► To propose a simple, yet powerful, technique for indoor localization specific to context awareness. ► To propose new techniques for localization in a building using decision tree and wireless LAN signal. ► To develop a system to infer user’s context by adopting Bayesian network and the indoor localization technique together.