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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Emotional Status Determination in HCI Interface for the Paralyzed
verfasst von : Rytis Maskeliunas, Vidas Raudonis, Paulius Lengvenis
Erschienen in: Neural Nets and Surroundings
Verlag: Springer Berlin Heidelberg
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Authors present parts of the work on the development of multimodal HCI control interface targeted at paralyzed people. In this paper the proposed emotional status determination solution is presented based on the data gathering from eye tracking sensors. The participants were provided with an audiovisual stimulus (slides/videos with sounds) and the emotional feedback was determined by the combination of gaze tracking and artificial neural network processing. Some initial experimental analysis and the data of the recognition accuracy of the emotional state based on the gaze tracking are provided along with the description of implemented algorithms.