EEG Data of Face Recognition in Case of Biological Compatible Changes: A Pilot Study on Healthy People

Aurora Saibene, Silvia Corchs, Roberta Daini, Alessio Facchin, Francesca Gasparini

2018

Abstract

Recognizing people from their faces has a strong impact on social interaction. In this paper we present a pilot study on healthy people where brain activities during a face recognition task have been recorded using electroencephalogram (EEG). Target images (previously seen in a training phase), were presented in the recognition phase in two different conditions: identical to those of the initial phase, modified with biologically plausible changes (such as features enlargement or changed expression) and randomly presented with new faces. The raw EEG data were properly cleaned from both biological or non-physiological artifacts. Statistically significant differences in brain activations were registered between the two experimental conditions, especially in the frontal area, during the recognition process. The results of the analysis on this database of healthy people can be useful as baseline for further studies on people affected by congenital prosopagnosia or autism.

Paper Citation

in Harvard Style

Saibene A., Corchs S., Daini R., Facchin A. and Gasparini F. (2018). EEG Data of Face Recognition in Case of Biological Compatible Changes: A Pilot Study on Healthy People.In Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 1: ICETE, ISBN 978-989-758-319-3, pages 414-420. DOI: 10.5220/0006909104140420

in Bibtex Style

@conference{icete18,
author={Aurora Saibene and Silvia Corchs and Roberta Daini and Alessio Facchin and Francesca Gasparini},
title={EEG Data of Face Recognition in Case of Biological Compatible Changes: A Pilot Study on Healthy People},
booktitle={Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 1: ICETE,},
year={2018},
pages={414-420},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006909104140420},
isbn={978-989-758-319-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 1: ICETE,
TI - EEG Data of Face Recognition in Case of Biological Compatible Changes: A Pilot Study on Healthy People
SN - 978-989-758-319-3
AU - Saibene A.
AU - Corchs S.
AU - Daini R.
AU - Facchin A.
AU - Gasparini F.
PY - 2018
SP - 414
EP - 420
DO - 10.5220/0006909104140420