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Improving EEG-Based Driver Fatigue Classification Using Sparse-Deep Belief Networks
This paper presents an improvement of classification performance for electroencephalography (EEG)-based driver fatigue classification between fatigue and alert states with the data collected from 43 participants. The system employs autoregressive (AR) modeling as the features extraction algorithm, a...
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| Cyhoeddwyd yn: | Front Neurosci |
|---|---|
| Prif Awduron: | , , , , , , , |
| Fformat: | Artigo |
| Iaith: | Inglês |
| Cyhoeddwyd: |
Frontiers Media S.A.
2017
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| Pynciau: | |
| Mynediad Ar-lein: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5339284/ https://ncbi.nlm.nih.gov/pubmed/28326009 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2017.00103 |
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