1. Automatic Stress Classification With Pupil Diameter Analysis
- Author
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Thierry Baccino, Mohammad Ali Mirzaei, Jean-Rémy Chardonnet, Frédéric Merienne, Adrien Tedesco, Simone Benedetto, Marco Pedrotti, Laboratoire des Usages en Technologies d'Information Numériques ( CHART-LUTIN ), Université Paris 8 Vincennes-Saint-Denis ( UP8 ) -Université de Technologie de Compiègne [Compiègne] ( UTC ) -CITE SCIENCES IND, Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Scientific Brain Training, F1105041V (MASSAI), Laboratoire des Usages en Technologies d'Information Numériques (LUTIN), Université Paris 8 Vincennes-Saint-Denis (UP8)-Université de Technologie de Compiègne (UTC)-CITE SCIENCES IND-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, and HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)
- Subjects
[ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation ,Computer science ,Synthèse d'image et réalité virtuelle [Informatique] ,Stress analysis ,Pupil diameter ,Human Factors and Ergonomics ,medicine.disease_cause ,Signal ,Neural network classifier ,Task (project management) ,Traitement du signal et de l'image [Informatique] ,[ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC] ,Stress (linguistics) ,medicine ,Psychological stress ,Computer vision ,[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] ,Artificial neural network ,Systèmes embarqués [Informatique] ,business.industry ,Wavelet transform ,[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation ,Automatique / Robotique [Sciences de l'ingénieur] ,Neural network ,Computer Science Applications ,Human-Computer Interaction ,Recherche d'information [Informatique] ,Artificial intelligence ,business ,Pupilometry - Abstract
International audience; This article proposes a method based on wavelet transform and neural networks for relating pupillary behavior to psychological stress. The proposed method was tested by recording pupil diameter and electrodermal activity during a simulated driving task. Self-report measures were also collected. Participants performed a baseline run with the driving task only, followed by three stress runs where they were required to perform the driving task along with sound alerts, the presence of two human evaluators, and both. Self-reports and pupil diameter successfully indexed stress manipulation, and significant correlations were found between these measures. However, electrodermal activity did not vary accordingly. After training, the four-way parallel neural network classifier could guess whether a given unknown pupil diameter signal came from one of the four experimental trials with 79.2% precision. The present study shows that pupil diameter signal has good discriminating power for stress detection.
- Published
- 2014
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