Usability Views Article Details  home | timeline | recent | popular | e-reports | userati | books | about  Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (21 Dec 2004) 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. Article URL: http://www.hpl.hp.com/techreports/2004/HPL-2004-229.html Read 105 more articles from HP Labs sorted by date, popularity, or title. Next Article: Artists’ earnings and copyright: A review of British and German music industry data in the context of digital technologies     This site is a labour of love built by Chris McEvoy