Activity Recognition from Mobile Phone Data: State of the Art, Prospects and Open Problems
نویسندگان
چکیده
Activity recognition aims to automatically determine what people do from a series of observations. With several billion subscribers and multiple sensors, the mobile phone is an obvious opportunity for activity recognition. We give an overview of mobile-phone-based activity recognition along two directions – recognised activities and inference techniques. We show that existing systems can be classified in two categories depending on whether they are locationor motion-driven. A new generation of smartphones is inspiring many research efforts. However, the current framework for mobile-phone-based activity recognition has reached certain limits. We anticipate changes in the field and identify obstacles to further development.
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