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pro vyhledávání: '"Wiete, Teresa Festl"'
Autor:
Fuhl, Wolfgang, Zabel, Susanne, Harbig, Theresa, Moldt, Julia Astrid, Wiete, Teresa Festl, Werner, Anne Herrmann, Nieselt, Kay
In this paper, we present a new feature that can be used to classify cognitive load based on pupil information. The feature consists of a temporal segmentation of the eye tracking recordings. For each segment of the temporal partition, a probability
Externí odkaz:
http://arxiv.org/abs/2303.12757
Autor:
Fuhl, Wolfgang, Zabel, Susanne, Harbig, Theresa, Moldt, Julia Astrid, Wiete, Teresa Festl, Werner, Anne Herrmann, Nieselt, Kay
In this paper, we present two approaches and algorithms that adapt areas of interest (AOI) or regions of interest (ROI), respectively, to the eye tracking data quality and classification task. The first approach uses feature importance in a greedy wa
Externí odkaz:
http://arxiv.org/abs/2303.12744
Autor:
Fuhl, Wolfgang, Zabel, Susanne, Harbig, Theresa, Moldt, Julia Astrid, Wiete, Teresa Festl, Werner, Anne Herrmann, Nieselt, Kay
In this paper, we present two approaches and algorithms that adapt areas of interest We present a new deep neural network (DNN) that can be used to directly determine gaze position using EEG data. EEG-based eye tracking is a new and difficult researc
Externí odkaz:
http://arxiv.org/abs/2303.06039