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Authors: Carlos Carreiras ; Helena Aidos ; Hugo Silva and Ana Fred

Affiliation: Instituto Superior Técnico, Portugal

ISBN: 978-989-8565-36-5

Keyword(s): Emotions, EEG, ICA, EMD, Phase-locking Factor, Clustering.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Detection and Identification ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: Emotion recognition is essential for psychological and psychiatric applications and for improving the quality of human-machine interaction. Therefore, a simple and reliable method is needed to automatically assess the emotional state of a subject. This paper presents an application of clustering algorithms to feature spaces obtained from the acquired EEG of subjects performing a stress-inducing task. These features were obtained in three ways: using the EEG directly, using ICA to remove eye movement artifacts, and using EMD to extract data-driven modes present in the signals. From these features, we computed band-power features (BPFs) as well as pairwise phase-locking factors (PLFs), in a total of six different feature spaces. These six feature spaces are used as input to various clustering algorithms. The results of these clustering techniques show interesting phenomena, including prevalence for low numbers of clusters and the fact that clusters tend to be made of consecutive test li nes. (More)

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Paper citation in several formats:
Carreiras, C.; Aidos, H.; Silva, H. and Fred, A. (2013). Exploratory EEG Analysis using Clustering and Phase-locking Factor.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013) ISBN 978-989-8565-36-5, pages 79-88. DOI: 10.5220/0004251300790088

@conference{biosignals13,
author={Carlos Carreiras. and Helena Aidos. and Hugo Silva. and Ana Fred.},
title={Exploratory EEG Analysis using Clustering and Phase-locking Factor},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)},
year={2013},
pages={79-88},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004251300790088},
isbn={978-989-8565-36-5},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)
TI - Exploratory EEG Analysis using Clustering and Phase-locking Factor
SN - 978-989-8565-36-5
AU - Carreiras, C.
AU - Aidos, H.
AU - Silva, H.
AU - Fred, A.
PY - 2013
SP - 79
EP - 88
DO - 10.5220/0004251300790088

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