Deep learning to classify driver sleepiness from electrophysiological data
Driver sleepiness is a cause for crashes and it is estimated that 3.9 to 33 % of all crashes might be related to sleepiness at the wheel. It is desirable to get an objective measurement of driver sleepiness for reduced sensitivity to subjective variations. Using deep learning for classification of dr...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Institutionen för medicinsk teknik
2019
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157498 |