UC14 Verification of Driver Monitoring Models

UC14 workflow that describes activities needed to validate the ML models that perform driver state recognition.
This workflow details the process needed to continuously build a robust dataset against which driver monitoring models, such as drowsiness detection, can be tested.
The continuous update of the database serves to facilitate constant development of the driver monitoring models, making them more robust against different physiological signal measurement conditions, as well as to mitigate inter-subject variability related uncertainty within these models.
Extensible Markup Language (XML) UC14_workflows.xml — Extensible Markup Language (XML), 1.27 MB
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