Driving Cognitive Alertness Detecting Using Evoked Multimodal Physiological Signals Based on Uncertain Self-Supervised Learning
Multimodal physiological signals play a pivotal role in drivers’ perception of work stress. However, the scarcity of labels and the multitude of modalities render the utilization of physiological signals for driving cognitive alertness detection challenging. We thus propose a multimodal p...
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| Main Authors: | , , , , |
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| Format: | Book |
| Published: |
IEEE,
2024-01-01T00:00:00Z.
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |