About this paper

Appears in:
Pages: 4005-4011
Publication year: 2018
ISBN: 978-84-09-02709-5
ISSN: 2340-1117
doi: 10.21125/edulearn.2018.1019

Conference name: 10th International Conference on Education and New Learning Technologies
Dates: 2-4 July, 2018
Location: Palma, Spain

A FACIAL EMOTIONS RECOGNITION APPLICATION FOR SUBJECTS WITH AUTISM SPECTRUM DISORDER

F. Bertacchini1, L. Gabriele1, P.S. Pantano1, D. Olmedo-Vizueta2, A. Giaquinta3, A. Tavernise1, E. Bilotta1

1University of Calabria (ITALY)
2Escuela Superior Polit├ęcnica de Chimborazo (ECUADOR)
3Associazione Autismo Kr (Crotone) (ITALY)
Individuals with autism spectrum disorder have difficulties in facial emotion recognition (Joseph, Tanaka, 2002). Although these difficulties have been long investigated using different technologies (Alves et al., 2013; Bertacchini et al., 2013; Kim et al., 2015) results have not still yield a shared identification of all the involved variables as well as common results. In order to investigate this complex problem, an advanced application has been designed and implemented, involving the most useful features that other tools actually present in the market have.

In fact, it allows the display of 3D faces expressing the following six basic emotions: Joy, Sadness, Anger, Fear, Disgust, and Surprise. Furthermore, the application as a more wider educational purposes, it is capable of recording both the mathematical parameters of recognition for each emotion, for each subject, and different variables (number of trials, time of recognition, percentage of success, total time).

To demonstrate the effectiveness and robustness of the developed application, eighteen subjects with high-functioning autism spectrum disorder diagnosis (aged between 5 and 18) have been involved in an experimentation, in order to evaluate the more recognized parameters for each emotion, exactly identifying each emotion parametric configuration that each subject recognizes, for all the emotional spectrum.

This allowed the investigation of the most recognized basic emotions among the considered sample.

Results have been considered to implement specific personalized path of the application to be implemented in the device, to improve its effectiveness. Even though these outcomes can be considered preliminary, results highlight that the new advanced system could have many educational applications for users with recognition impairments of facial emotions.
@InProceedings{BERTACCHINI2018AFA,
author = {Bertacchini, F. and Gabriele, L. and Pantano, P.S. and Olmedo-Vizueta, D. and Giaquinta, A. and Tavernise, A. and Bilotta, E.},
title = {A FACIAL EMOTIONS RECOGNITION APPLICATION FOR SUBJECTS WITH AUTISM SPECTRUM DISORDER},
series = {10th International Conference on Education and New Learning Technologies},
booktitle = {EDULEARN18 Proceedings},
isbn = {978-84-09-02709-5},
issn = {2340-1117},
doi = {10.21125/edulearn.2018.1019},
url = {http://dx.doi.org/10.21125/edulearn.2018.1019},
publisher = {IATED},
location = {Palma, Spain},
month = {2-4 July, 2018},
year = {2018},
pages = {4005-4011}}
TY - CONF
AU - F. Bertacchini AU - L. Gabriele AU - P.S. Pantano AU - D. Olmedo-Vizueta AU - A. Giaquinta AU - A. Tavernise AU - E. Bilotta
TI - A FACIAL EMOTIONS RECOGNITION APPLICATION FOR SUBJECTS WITH AUTISM SPECTRUM DISORDER
SN - 978-84-09-02709-5/2340-1117
DO - 10.21125/edulearn.2018.1019
PY - 2018
Y1 - 2-4 July, 2018
CI - Palma, Spain
JO - 10th International Conference on Education and New Learning Technologies
JA - EDULEARN18 Proceedings
SP - 4005
EP - 4011
ER -
F. Bertacchini, L. Gabriele, P.S. Pantano, D. Olmedo-Vizueta, A. Giaquinta, A. Tavernise, E. Bilotta (2018) A FACIAL EMOTIONS RECOGNITION APPLICATION FOR SUBJECTS WITH AUTISM SPECTRUM DISORDER, EDULEARN18 Proceedings, pp. 4005-4011.
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