A Poll Oriented Classifier for Affective Brain Computer Interfaces
Daniela Iacoviello, Naixia Pagnani, Andrea Petracca, Matteo Spezialetti, Giuseppe Placidi
2015
Abstract
Affective Computing and Brain Computer Interface (BCI) are two innovative and rapidly growing fields of research. Affective Computing aims at equipping machines with the human capabilities of observe, understand and express affecting features; BCI aims at discovering novel communication channels and protocols, through the monitoring of the brain activity. Emotion recognition plays a central role in both these research fields. In this work we present an EEG poll based classification algorithm for self-induced emotional states used for BCI. We tested the approach using three emotions: the disgust produced by remembering an unpleasant odor (a stink), the pleasantness induced by the memory of a fragrance and a relaxing state. Preliminary experimental results are also reported.
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Paper Citation
in Harvard Style
Iacoviello D., Pagnani N., Petracca A., Spezialetti M. and Placidi G. (2015). A Poll Oriented Classifier for Affective Brain Computer Interfaces . In Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics - Volume 1: NEUROTECHNIX, ISBN 978-989-758-161-8, pages 41-48. DOI: 10.5220/0005606600410048
in Bibtex Style
@conference{neurotechnix15,
author={Daniela Iacoviello and Naixia Pagnani and Andrea Petracca and Matteo Spezialetti and Giuseppe Placidi},
title={A Poll Oriented Classifier for Affective Brain Computer Interfaces},
booktitle={Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics - Volume 1: NEUROTECHNIX,},
year={2015},
pages={41-48},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005606600410048},
isbn={978-989-758-161-8},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics - Volume 1: NEUROTECHNIX,
TI - A Poll Oriented Classifier for Affective Brain Computer Interfaces
SN - 978-989-758-161-8
AU - Iacoviello D.
AU - Pagnani N.
AU - Petracca A.
AU - Spezialetti M.
AU - Placidi G.
PY - 2015
SP - 41
EP - 48
DO - 10.5220/0005606600410048