Authors:
Jorge Teixeira
1
;
Vasco Vinhas
1
;
Luís Paulo Reis
2
and
Eugénio Oliveira
1
Affiliations:
1
FEUP/LIAC - Faculdade de Engenharia da Universidade do Porto, Portugal
;
2
FEUP/LIACC - Faculdade de Engenharia da Universidade do Porto, Portugal
Keyword(s):
Biosignals, Emotions, Classification, Multimedia, Clustering.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Applications and Services
;
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Biometrics
;
Biometrics and Pattern Recognition
;
Computer Vision, Visualization and Computer Graphics
;
Cybernetics and User Interface Technologies
;
Data Manipulation
;
Devices
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Human-Computer Interaction
;
Information and Systems Security
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Methodologies and Methods
;
Multimedia
;
Multimedia Signal Processing
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Soft Computing
;
Telecommunications
;
Wearable Sensors and Systems
Abstract:
Emotion’s definition, identification, systematic induction and efficient and reliable classification have been themes to which several complementary knowledge areas such as psychology, medicine and computer science have been dedicating serious investments. This project consists in developing an automatic tool for emotion assessment based on a dynamic biometric data acquisition set as galvanic skin response and electroencephalography are practical examples. The output of standard emotional induction methods is the support for classification based on data analysis and processing. The conducted experimental sessions, alongside with the developed support tools, allowed the extraction on conclusions such as the capability of effectively performing automatic classification of the subject’s predominant emotional state. Self assessment interviews validated the developed tool's success rate of approximately 75%. It was also experimentally strongly suggested that female subjects are emotionall
y more active and easily induced than males.
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