A robust operators’ cognitive workload recognition method based on denoising masked autoencoder
Identifying the cognitive workload of operators is crucial in complex human-automation collaboration systems. An excessive workload can lead to fatigue or accidents, while an insufficient workload may diminish situational awareness and efficiency. However, existing supervised learning-based methods...
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| Main Authors: | , |
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| 格式: | Article |
| 語言: | English |
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2024
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| 在線閱讀: | https://hdl.handle.net/10356/180657 |
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