Bastien Pietropaoli

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This paper illustrates some recommended design principles for activity recognition techniques in the smart home domain. These include considerations about acceptability and feasibility and the adoption of realistic human activity models. The paper also presents the architecture of a smart home prototype that is currently under development. In this system,(More)
Existing activity recognition approaches in the smart home domain suffer from poor human activity models. Combining expertise from cognitive ergonomics and ubiquitous computing, we discuss the hard technical challenges to address when leveraging a realistic model of human activity. We present the architecture of a prototype smart home system that we are(More)
In smart homes, many context attributes, i.e. small pieces of context, have to be computed from sensors in order to provide adapted services. We observe that many of those context attributes can be deduced from others. This paper presents how methods to propagate belief functions from one frame of discernment to another can be used to compute contexts. It(More)
Since the first automated buildings, sensor data was used to monitor and visualize building operations. The first automated buildings had only a few meters and sensors on the main equipment and were operated by dedicated computers in special control rooms. Modern buildings tend to have thousands of sensors down to individual desk level. The systems can now(More)