دورية أكاديمية
EEG BASED COGNITIVE WORKLOAD CLASSIFICATION DURING NASA MATB-II MULTITASKING
| العنوان: | EEG BASED COGNITIVE WORKLOAD CLASSIFICATION DURING NASA MATB-II MULTITASKING |
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| المؤلفون: | Sushil Chandra, Kundan Lal Verma, Greeshma Sharma, Alok Mittal, Devendra Jha |
| المصدر: | International Journal of Cognitive Research in Science, Engineering and Education, Vol 3, Iss 1, Pp 35-41 (2015) |
| بيانات النشر: | Association for the Development of Science, Engineering and Education, 2015. |
| سنة النشر: | 2015 |
| المجموعة: | LCC:Education (General) LCC:Engineering (General). Civil engineering (General) |
| مصطلحات موضوعية: | cognitive workload, discrete wavelet transform, eeg spectral feature, neural network, Education (General), L7-991, Engineering (General). Civil engineering (General), TA1-2040 |
| الوصف: | The objective of this experiment was to determine the best possible input EEG feature for classification of the workload while designing load balancing logic for an automated operator. The input features compared in this study consisted of spectral features of Electroencephalography, objective scoring and subjective scoring. Method utilizes to identify best EEG feature as an input in Neural Network Classifiers for workload classification, to identify channels which could provide classification with the highest accuracy and for identification of EEG feature which could give discrimination among workload level without adding any classifiers. The result had shown Engagement Index is the best feature for neural network classification. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2334-847X 2334-8496 |
| Relation: | https://ijcrsee.com/index.php/ijcrsee/article/view/67; https://doaj.org/toc/2334-847X; https://doaj.org/toc/2334-8496 |
| DOI: | 10.23947/2334-8496-2015-3-1-35-41 |
| URL الوصول: | https://doaj.org/article/b40bab80822c434ba9d7f0619f104d23 |
| رقم الأكسشن: | edsdoj.b40bab80822c434ba9d7f0619f104d23 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 2334847X 23348496 |
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| DOI: | 10.23947/2334-8496-2015-3-1-35-41 |