Gert-Jan de Vries

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The growing interest in affective computing is expected to have its beneficial impact on consumer lifestyle products. Especially emphatic applications — applications that make you feel they really understand you — will serve the current consumer interest in enhanced and meaningful experiences. To do so, the applications will have to measure(More)
Machines Outperform Laypersons in Recognizing Emotions Elicited by Autobiographical Recollection Joris H. Janssen a b , Paul Tacken b , J.J.G. (Gert-Jan) de Vries b , Egon L. van den Broek c d e , Joyce H.D.M. Westerink b , Pim Haselager f & Wijnand A. IJsselsteijn a a Eindhoven University of Technology , The Netherlands b Philips Research , The Netherlands(More)
Bodily expressions can be used to involve players in intense experiences with games. By physically moving, breathing, or increasing your pulse, you may start emotional processes that help create for a stronger experience of the narrative in the game. We have designed a system named EmRoll that poses riddles to pairs of players. The riddles can only be(More)
Although sleep stage annotation (SSA) is historically known from clinical practice and typically performed by a certified expert on the basis of visual examination of polysomnography (PSG) signals. Automatic SSA has emerged as a tool to assist sleep experts and to accelerate the analysis of PSG data. New advances in signal processing and sensor technology(More)
A variety of modifications have been employed to learning vector quantization (LVQ) algorithms using either crisp or soft windows for selection of data. Although these schemes have been shown in practice to improve performance, a theoretical study on the influence of windows has so far been limited. Here we rigorously analyze the influence of windows in a(More)
Heartbeats are strongly related to emotions, and people are known to interpret their own heartbeat as emotional information. To explore how people interpret other’s cardiac activity, the authors conducted four experiments. In the first experiment, they aurally presented ten different levels of heart rate to participants and compare emotional intensity(More)
One of the key challenges in affective computing is the interpretation of physiological signals into affect. Mood, as a subclass of affect, is known to be reflected in skin conductance. While most reports concern strictly controlled laboratory settings, daily life situations pose more challenges in interpreting physiology because more bodily and cognitive(More)