Detecting Stress During Real-World Driving Tasks Using Physiological Sensors

[摘要] This paper presents methods for collecting and analyzing physiological data during real world driving tasks to determine a driver's relative stress level. Electrocardiogram, electromyogram, skin conductance and respiration were recorded continuously while drivers followed a set route through open roads in the greater Boston area. Data from twenty-four drives of at least fifty minute duration were collected for analysis. In Analysis I features from five minute intervals of data were used to distinguish three levels of driver stress with an accuracy of over 97% across multiple drivers and driving days. In Analysis II, continuous physiological features were correlated with a continuous metric of observable stressors showing that on a real-time basis metrics of skin conductivity and heart rate were most closely correlated with driver stress level. Such automatically calculated physiological features could be used to help manage non-critical in-vehicle information systems and improve the driving experience. Notes: Copyright IEEE. To be published in IEEE Transactions on Intelligent Transportation Systems 21 Pages

[发布机构] HP Development Company

[学科分类] 计算机科学（综合）

[关键词] driver;stress;traffic;automobile;physiology;sensor;signal;computer;affect;EKG;skin conductivity