Research Article
Brain Activity Analysis of Stressed and Control Groups in Response to High Arousal Images
@INPROCEEDINGS{10.1007/978-3-030-94822-1_57, author={Wardah Batool and Sanay Muhammad Umar Saeed and Muhammad Majid}, title={Brain Activity Analysis of Stressed and Control Groups in Response to High Arousal Images}, proceedings={Mobile and Ubiquitous Systems: Computing, Networking and Services. 18th EAI International Conference, MobiQuitous 2021, Virtual Event, November 8-11, 2021, Proceedings}, proceedings_a={MOBIQUITOUS}, year={2022}, month={2}, keywords={Electroencephalography Brain activity Statistical analysis Human stress High arousal images}, doi={10.1007/978-3-030-94822-1_57} }- Wardah Batool
Sanay Muhammad Umar Saeed
Muhammad Majid
Year: 2022
Brain Activity Analysis of Stressed and Control Groups in Response to High Arousal Images
MOBIQUITOUS
Springer
DOI: 10.1007/978-3-030-94822-1_57
Abstract
Stress is known as a state in which an individual tussles with psychological or social demands. It can be detected in response to high arousal images, but the existing dataset of such images might not be effective to induce stress for the population of financially and politically unstable countries. This study examines the effects of stress-inducing high arousal images selected from the Geneva Affective Picture Database (GAPED) on the brain activity of stressed and control groups. Twenty-seven healthy participants of the same educational background and ethnicity took part in this study voluntarily. The electroencephalography (EEG) data signals are recorded using a single-channel headset and all participants are advised to close their eyes for one minute and avoid thinking about anything. Negative images with high arousal values are presented to the participants for one minute. EEG data signals are recorded again with closed eye condition for one minute. The t-test is applied to check the effects of high arousal images on brain activities of all participants, stressed participants, and participants in the control condition. The results of this study reveal that there are no statistically significant changes observed in all EEG bands after the presentation of the high arousal images. This study is the first step that points to the need for a new image dataset for high arousal images to induce stress for the population of developing countries.
