A Dual-Adversarial Model for Cross-Time and Cross-Subject Cognitive Workload Decoding-Reference-Cited by-同舟云学术

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A Dual-Adversarial Model for Cross-Time and Cross-Subject Cognitive Workload Decoding

Published:2024 Issue: Volume:32 Page:2324-2335
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Shao Yang¹^ORCID,Zhou Yueying²^ORCID,Gong Peiliang¹^ORCID,Sun Qianru¹,Zhang Daoqiang¹^ORCID

Affiliation:

1. College of Artificial Intelligence and the Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. School of Mathematics Science, Liaocheng University, Liaocheng, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Key Research and Development Plan of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7333/10398877/10559607.pdf?arnumber=10559607

Reference48 articles.

1. Towards neuroadaptive modeling: assessing the cognitive states of pilots through passive brain-computer interfacing

2. Monitored Versus Non-Monitored Stimuli in Brain-Computer-Interface Methods for Classifying Workload States During Piloting Tasks

3. State of science: mental workload in ergonomics

4. Mental Work-load as a Function of Demand, Capacity, Strategy and Skill

5. Multiple resources and performance prediction

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