Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14365/5170
Title: | Detection of the Effects of Environmental Condition on Attention/Memory Using EEG Signals | Authors: | Arinc, A. Akbuğday, Burak Akbugday, S.P. Akan, Aydın |
Keywords: | attention cognitive performance electroencephalogram machine learning noise working memory Machine learning Signal processing Attention Cognitive performance Electroencephalogram signals Environmental conditions Machine-learning N-back task Noise Noise levels Subbands Working memory Electroencephalography |
Publisher: | Institute of Electrical and Electronics Engineers Inc. | Abstract: | Several studies suggest that attention is affected by several factors in workplaces and classrooms such as noise levels. These studies are often conducted via surveys and statistical methods to assess the cognitive performances of individuals. In this study, the effect of environmental conditions on attention and memory is investigated using Electroencephalogram (EEG). EEG signals from 32 participants were recorded for three cases with different noise levels while they were performing an n-back task. Sub-band powers of the EEG signals were then extracted using the filtered signals and these features were then classified using several machine learning classifiers. Results indicate that increased noise levels have detrimental effects whereas calm environments have positive effects on attention and working memory. © 2023 IEEE. | Description: | 2023 Medical Technologies Congress, TIPTEKNO 2023 -- 10 November 2023 through 12 November 2023 -- 195703 | URI: | https://doi.org/10.1109/TIPTEKNO59875.2023.10359237 https://hdl.handle.net/20.500.14365/5170 |
ISBN: | 9798350328967 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
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