Subject-Wise Cognitive Load Detection Using Time–Frequency EEG and Bi-LSTM

• Published in: Arabian journal for science and engineering (2011) Vol. 49; no. 3; pp. 4445 - 4457
• Main Authors: Yedukondalu, Jammisetty, Sharma, Diksha, Sharma, Lakhan Dev
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2024; Springer Nature B.V
• Subjects: Cognitive load; Electroencephalography; Engineering; Humanities and Social Sciences; multidisciplinary; Research Article-Computer Engineering and Computer Science; Science; Time-frequency analysis; Bi-LSTM; Subject-wise; Cognitive load; T–F methods; EEG

Cognitive load detection using electroencephalogram (EEG) signals is a technique employed to understand and measure the mental workload or cognitive demands placed on an individual while performing a task. EEG is a noninvasive method that records fluctuations in brain activity at different cognitive...