EEG based Mental Workload Assessment by Power Spectral Density Feature-Reference-Cited by-同舟云学术

EEG based Mental Workload Assessment by Power Spectral Density Feature

Published:2022-08-07 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Mechatronics and Automation (ICMA)
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Author:

Liu Yang¹,Shi Shanshan²,Song Yu¹,Gao Qiang¹,Li Zeyu¹,Song Haotian¹,Pang Siyuan¹,Li Dong¹

Affiliation:

1. Tianjin University of Technology,Tianjin,China,300384

2. Beijing Aerospace Propulsion Institute,Beijing,China,100076

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9855896/9855897/09856376.pdf?arnumber=9856376

Reference20 articles.

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2. EEG Fingerprints of Task-Independent Mental Workload Discrimination

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4. The multi-attribute task battery ii (matb-ii) software for human performance and workload research: A user’s guide;santiago-espada,2011

5. An EEG dataset for cross-session mental workload estimation: Passive BCI competition of the Neuroergonomics Conference 2021 (Version 2) [Data set];hinss;Neuroergonomics Conference,2021

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1. Reproducible machine learning research in mental workload classification using EEG;Frontiers in Neuroergonomics;2024-04-10

2. A Dual-Adversarial Model for Cross-Time and Cross-Subject Cognitive Workload Decoding;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

3. Characterisation of Cognitive Load Using Machine Learning Classifiers of Electroencephalogram Data;Sensors;2023-10-17

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