Abstract
Since the late 90’s pupil size variations have been considered a possible input channel in Human-Computer Interaction [7]. [4, 5] showed that it is possible to manipulate pupil size via self-induced regulation strategies. A training based on graphical real-time pupillary feedback supported the learning process towards voluntary pupil size control. For successful learning the feedback has to be reliable, stable and on time. Taking this into account, spontaneous blinking poses one important problem during real-time feedback. This paper presents the process and elaboration of real-time data filtering methods. The final implementation consists of a two-state process. Blink replacement is achieved with a data-driven threshold. The filter was programed and tested in the framework of a study by [3]. The testing results were promising.
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Georgi, J., Kowalski, D., Ehlers, J., Huckauf, A. (2015). Real-Time Feedback Towards Voluntary Pupil Control in Human-Computer Interaction: Enabling Continuous Pupillary Feedback. In: Fardoun, H., R. Penichet, V., Alghazzawi, D. (eds) ICTs for Improving Patients Rehabilitation Research Techniques. REHAB 2014. Communications in Computer and Information Science, vol 515. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48645-0_10
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DOI: https://doi.org/10.1007/978-3-662-48645-0_10
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