Prospects in modeling reader's affect based on EEG signals
College
College of Computer Studies
Department/Unit
Software Technology
Document Type
Conference Proceeding
Source Title
Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings
First Page
98
Last Page
100
Publication Date
1-1-2017
Abstract
© 2017 Asia-Pacific Society for Computers in Education. All rights reserved. Readers experience various emotions while reading, which may affect their overall enjoyment and comprehension of the material. The current work presents a study on brainwaves or EEG signals and their association to emotions while a person is reading literary fiction. EEG data from 32 participants, aged 18 years old and above, were collected with the use of an EEG headset. We describe our methodology for data acquisition and processing, feature extraction and dataset building, as well as the classification experiments done.
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Recommended Citation
Kalaw, K., Ong, E., & Azcarraga, J. J. (2017). Prospects in modeling reader's affect based on EEG signals. Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings, 98-100. Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/1453
Disciplines
Computer Sciences | Software Engineering
Keywords
Electroencephalography; Machine learning; Emotion recognition
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