Mental Workload Assessment using Low-Channel Prefrontal EEG Signals
Author:
Affiliation:
1. Tampere University,Pori,Finland
2. Satakunta University of Applied Sciences,Pori,Finland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10171833/10171851/10171942.pdf?arnumber=10171942
Reference19 articles.
1. Subject-Specific Cognitive Workload Classification Using EEG-Based Functional Connectivity and Deep Learning
2. Age differences in short-term retention of rapidly changing information.
3. Electroencephalography in Evaluating Mental Workload of Gaming
4. Portable System for Real-Time Detection of Stress Level
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3. Assessment of Mental Workload Using a Transformer Network and Two Prefrontal EEG Channels: An Unparameterized Approach;IEEE Transactions on Instrumentation and Measurement;2024
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