Fusing and Analyzing Physical and Social Sensors on Smartphones using Web SocialSense
Modern smartphones, including those running iOS, Android, and other mobile operating systems, offer a rich selection of on-board sensors, where
topology-based programming paradigm with source, processor, and fusion nodes connected by edges. The resulting system allows programmers to write
personalized, context-aware applications by dynamically fusing time-series signals from physical sensors, such as the accelerometer and geolocation services, as well as social software sensors, such as social network services and personal information management applications. With this framework we then implemented components for physical activity recognition and social software sensing to drive two context-aware applications, Social Map and ActVertisements.
Thomas Phan is a researcher at Samsung R&D Center in San Jose, CA. He currently conducts exploratory research in smartphone sensing and activity recognition. He received his PhD from UCLA in 2002.