Entropy-guided robust feature domain adaptation for electroencephalogram-based cross-dataset drowsiness recognition
To accurately identify driver drowsiness using Electroencephalogram (EEG), a significant amount of time is typically required to gather data from either the same subject or multiple subjects under the same experimental condition. The prolonged period required for data collection impedes the practica...
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Published in | Engineering applications of artificial intelligence Vol. 137; p. 109153 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.11.2024
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Subjects | |
Online Access | Get full text |
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