University of Oulu

EEG based assessment of emotional wellbeing in smart environment

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Author: Chowdhury, Mst1
Organizations: 1University of Oulu, Faculty of Information Technology and Electrical Engineering, Department of Computer Science and Engineering, Computer Science
Format: ebook
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 9 MB)
Pages: 68
Persistent link:
Language: English
Published: Oulu : M. Chowdhury, 2020
Publish Date: 2020-11-20
Thesis type: Master's thesis (tech)
Tutor: Seppänen, Tapio
Reviewer: Seppänen, Tapio
Pirttikangas, Susanna


Smart technologies are frequently united and automated in our everyday settings and commonplace task by linking computers and other devices. While there has been a necessity to build smart environments for an easy and comfortable life, research on measuring wellbeing in this environment becomes increasingly intensive. Emotion is one of the decisive aspects of wellbeing that encourages us to work effectively, manage, and cope with stress, and affect our physical health. This work evaluates the EEG signal to measure individuals the different emotional states in a smart space by creating a computer gaming scenario. EEG, a physiological signal which provides details on mental, physiological, and emotional states, EEG frequency bands are strongly correlated with positive and negative emotional responses. Since brain left frontal cortical area is responsible for positive emotion and the right frontal region associate, therefore, we choose two pairs of EEG electrodes F3-F4, and F7-F8 to assess the game player emotional states during the gaming situations. We measure the EEG frontal alpha asymmetry (FAA) by comparing variations in the alpha band power levels in the left and right frontal cortex, corresponding to positive and negative emotions. Our experiment outcome reveals considerable support with the emotional variance of the test participants. We note that multiple interruptions during the gaming situation create irritation to the test subjects. These findings also confirm that F3 and F4 EEG channels are the most sensitive to human emotional responses compared to F7 and F8 channels.

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Copyright information: © Mst Chowdhury, 2020. This publication is copyrighted. You may download, display and print it for your own personal use. Commercial use is prohibited.