Slow Trends - A Problem in Analysing Pupil Dynamics

Christoph Strauch, Juliane Georgi, Anke Huckauf, Jan Ehlers

2015

Abstract

As of recently, research efforts are intensified to operationalize pupil dynamics for cognitive and affective classification in human-machine interaction. However, signal analysis of pupil diameter changes is problematic since the respective dynamics consist of three essential components that have to be disentangled: Very slow diameter changes, slow and high frequencies. The current paper discusses the amount of slow trends in pupillary signal courses and the effects on functional parameters of pupil dilations. Thereby we confront our data with linear detrending approaches and reveal various forms of trend progressions that differ over time and cannot be fixed with conventional linear procedures.

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Paper Citation


in Harvard Style

Strauch C., Georgi J., Huckauf A. and Ehlers J. (2015). Slow Trends - A Problem in Analysing Pupil Dynamics . In Proceedings of the 2nd International Conference on Physiological Computing Systems - Volume 1: PhyCS, ISBN 978-989-758-085-7, pages 61-66. DOI: 10.5220/0005329400610066


in Bibtex Style

@conference{phycs15,
author={Christoph Strauch and Juliane Georgi and Anke Huckauf and Jan Ehlers},
title={Slow Trends - A Problem in Analysing Pupil Dynamics},
booktitle={Proceedings of the 2nd International Conference on Physiological Computing Systems - Volume 1: PhyCS,},
year={2015},
pages={61-66},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005329400610066},
isbn={978-989-758-085-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Physiological Computing Systems - Volume 1: PhyCS,
TI - Slow Trends - A Problem in Analysing Pupil Dynamics
SN - 978-989-758-085-7
AU - Strauch C.
AU - Georgi J.
AU - Huckauf A.
AU - Ehlers J.
PY - 2015
SP - 61
EP - 66
DO - 10.5220/0005329400610066