We propose and develop an approach modeled with multi-attribute utility theory for sensor fusion in context-aware environments. Our approach is distinguished from existing general purpose fusion techniques by a number of factors including a general underlying context model it is built upon and a set of heuristics it covers. The technique is developed for context-aware applications and we argue that it provides various advantages for data fusion in context-aware scenarios. We experimentally evaluate our approach with actual use cases using real sensors.Upprättat; 2005; 20080130 (ysko
The adoption of multi-sensor data fusion techniques is essential to effectively merge and analyze he...
We illustrate the PERSONA context-awareness framework applied to a major problem in Ambient Intellig...
We illustrate the PERSONA context-awareness framework applied to a major problem in Ambient Intellig...
We propose and develop an approach modeled with multi-attribute utility theory for sensor fusion in ...
Abstract. We propose and develop an approach modeled with multi-attribute utility theory for sensor ...
To answer the challenge of context-understanding for HCI, we propose and test experimentally a top-d...
The acceptance and usability of context-aware systems have given them the edge of wide use in variou...
Abstract—The exploitation of contextual information can bring several advantages to fusion systems a...
The inclusion of contextual information in low-level fusion processes is a promising research direct...
Multi-sensor data fusion is extensively used to merge data collected by heterogeneous sensors deploy...
Many information fusion solutions work well in the intended scenarios; but the applications, support...
Context-aware applications sense, combine and reason about contextual information in order to determ...
Many information fusion solutions work well in the intended scenarios; but the applications, support...
Proceedings of: NATO Advanced Research Workshop on Human Systems Integration to Enhance Maritime Dom...
Internet-of-Things (IoT) is the latest buzzword, havings its origins in the erstwhile Sensor Network...
The adoption of multi-sensor data fusion techniques is essential to effectively merge and analyze he...
We illustrate the PERSONA context-awareness framework applied to a major problem in Ambient Intellig...
We illustrate the PERSONA context-awareness framework applied to a major problem in Ambient Intellig...
We propose and develop an approach modeled with multi-attribute utility theory for sensor fusion in ...
Abstract. We propose and develop an approach modeled with multi-attribute utility theory for sensor ...
To answer the challenge of context-understanding for HCI, we propose and test experimentally a top-d...
The acceptance and usability of context-aware systems have given them the edge of wide use in variou...
Abstract—The exploitation of contextual information can bring several advantages to fusion systems a...
The inclusion of contextual information in low-level fusion processes is a promising research direct...
Multi-sensor data fusion is extensively used to merge data collected by heterogeneous sensors deploy...
Many information fusion solutions work well in the intended scenarios; but the applications, support...
Context-aware applications sense, combine and reason about contextual information in order to determ...
Many information fusion solutions work well in the intended scenarios; but the applications, support...
Proceedings of: NATO Advanced Research Workshop on Human Systems Integration to Enhance Maritime Dom...
Internet-of-Things (IoT) is the latest buzzword, havings its origins in the erstwhile Sensor Network...
The adoption of multi-sensor data fusion techniques is essential to effectively merge and analyze he...
We illustrate the PERSONA context-awareness framework applied to a major problem in Ambient Intellig...
We illustrate the PERSONA context-awareness framework applied to a major problem in Ambient Intellig...