Titlebook: Location- and Context-Awareness; Third International Jeffrey Hightower,Bernt Schiele,Thomas Strang Conference proceedings 2007 Springer-Ve

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Scalable Recognition of Daily Activities with Wearable Sensors,ctivity recognition research has mostly focused on low-level and short-term activities. This paper therefore makes a first step towards recognition of high-level activities as they occur in daily life. For this we record a realistic 10h data set and analyze the performance of four different algorith

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SocialMotion: Measuring the Hidden Social Life of a Building,00 motion sensors connected in a wireless network observing a medium-sized office space populated with almost 100 people for a period of almost a year. We use a . representation of the data in the sensor network, which allows us to efficiently evaluate gross patterns of office-wide social behavior o

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Inferring the Everyday Task Capabilities of Locations,clusters of capabilities. This paper proposes a similar approach to computer discovery of routine location capabilities, applying machine learning to predict unobserved capabilities based on a combination of a small body of local observations and a larger body of data that is not specific to the loc

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Adaptive Learning of Semantic Locations and Routes,ty of mobile devices. An important topic in context-aware computing is to learn semantic locations and routes of mobile device users. Several batch methods have been proposed to learn these locations. However, such offline methods have very limited usefulness in practice. This paper describes an onl

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