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- W1982051264 abstract "A user working at his/her desktop computer would benefit from notifications being given at timings that reflect their relevancy to the user's activity and workload. To do so correctly, a notification system should have a way of determining the user's state of activity We propose a novel method to estimate user states with a pressure sensor on a desk. We use a lattice-like pressure sensor sheet and distinguish between two simple user states: busy or idle. The pressure can be measured without the user being aware of it, and changes in the pressure reflect useful information like typing, an arm, the presence of a coffee mug, and so on. We carefully developed features which can be extracted from the sensed data and used a machine learning technique to identify the user state. We conducted experiments evaluating the accuracy of our method and obtained promising results." @default.
- W1982051264 created "2016-06-24" @default.
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- W1982051264 date "2012-11-01" @default.
- W1982051264 modified "2023-09-25" @default.
- W1982051264 title "User state identification through desktop interaction" @default.
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- W1982051264 doi "https://doi.org/10.1109/scis-isis.2012.6505185" @default.
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