Key result
Using multiple physiological features from embedded sensors significantly improved the recognition performance of driver stress patterns compared to the best single feature performance.
Why the study?
Can smart physiological sensors embedded in an automobile accurately detect patterns of driver stress?
Population
Drivers participating in a series of ten ninety-minute drives on public roads and highways
Design
Other
Follow-up
90 minutes per drive
Authors
Loading...
Multi-feature sensor fusion advances in-vehicle stress detection feasibility; leaves open prospective trials for safety outcomes.
Observational
Can smart physiological sensors embedded in an automobile accurately detect patterns of driver stress?
A multi-sensor physiological monitoring system embedded in a vehicle can effectively detect driver stress, with combined features outperforming single features.
Healey et al. (2002) conducted an observational in Driver stress. Multiple physiological sensors (ECG, EMG, respiration, skin conductance) vs. Single physiological feature was evaluated on Recognition performance of driver stress patterns. Using multiple physiological features from embedded sensors significantly improved the recognition performance of driver stress patterns compared to the best single feature performance.