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In this paper, we propose to determine whether the viewer's behavior changes or not before, during and after watching a TV program. Are there any behaviors specific to each particular phase of viewing? Here, we propose a flexible and nonintrusive method based on the use of three categories of everyday connected objects (i.e. Smartphone, smartwatch and remote control). Data were collected during participants'...
In this paper, we ask whether accurate recognition of activity can be obtained by using a network of smart objects. The approach consists in the classification of certain activities of the subjects: walking, standing, sitting and lying down. The study uses a network of commonly connected objects: a smart watch, a smartphone and a remote control and transported by the participants during an uncontrolled...
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