Sensor fusion of physical and social data using Web SocialSense on smartphone mobile browsers

Modern smartphones offer a rich selection of onboard sensors, where sensor access is typically performed through API calls provided by the phone´s operating system. In this paper we evaluate the viability of implementing sensor processing entirely in the Web browser layer with Web SocialSense, a JavaScript framework for Tizen smartphones that uses a graph topology-based paradigm. This framework enables programmers to write personalized, context-aware applications that can dynamically fuse time-series signals from physical sensors (such as the accelerometer and geolocation services) and social software sensors (such as social network services and personal information management applications). To demonstrate the framework we implemented components for physical sensing and social software sensing to drive two context-aware applications, ActVertisements and Social Map.