EEG BASED COGNITIVE WORKLOAD CLASSIFICATION DURING NASA MATB-II MULTITASKING

EEG BASED COGNITIVE WORKLOAD CLASSIFICATION DURING NASA MATB-II MULTITASKING

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 scori...

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Bibliographic Details
Main Authors: Sushil Chandra, Kundan Lal Verma, Greeshma Sharma, Alok Mittal, Devendra Jha
Format: Article
Language:English
Published: Association for the Development of Science, Engineering and Education 2015-06-01
Series:International Journal of Cognitive Research in Science, Engineering and Education
Subjects:
cognitive workload
discrete wavelet transform
eeg spectral feature
neural network
Online Access:https://ijcrsee.com/index.php/ijcrsee/article/view/67

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https://ijcrsee.com/index.php/ijcrsee/article/view/67

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