Face2Multi-modal: in-vehicle multi-modal predictors via facial expressions
Towards intelligent Human-Vehicle Interaction systems and innovative Human-Vehicle Interaction designs, in-vehicle drivers' physiological data has been explored as an essential data source. However, equipping multiple biosensors is considered the limited extent of user-friendliness and impracti...
| Main Authors: | , , , , , , |
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| Format: | Book Section |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/63624/ |