Multimodal Recognition of Cognitive Workload for Multitasking in the Car

Authors:
Felix Putze;Jan-Philip Jarvis;Tanja Schultz
Affiliations:
-;-;-
Venue:
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Year:
2010

Citing 0
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Abstract

This work describes the development and evaluation of a recognizer for different levels of cognitive workload in the car. We collected multiple biosignal streams (skin conductance, pulse, respiration, EEG) during an experiment in a driving simulator in which the drivers performed a primary driving task and several secondary tasks of varying difficulty. From this data, an SVM based workload classifier was trained and evaluated, yielding recognition rates of up to for three levels of workload.