Officially, distraction accounted for 16% of traffic deaths in 2009 (up from 10% in 2005) and for 20% of injuries. The age group at greatest risk is, unsurprisingly, teenagers, though older drivers are not immune. But these statistics understate the truth, because few drivers after a crash admit to using mobiles, and police rarely demand phone records, says Joe Farrow, the head of California’s Highway Patrol. (http://www.economist. com/node/18561075)
The airn of the research described in this work is to find the estimator of the fatigue level of a huiiian operátor driver. The deniand of nonintrusive approach constraiiits the existing possibilities. It is demonstrated that a small steering wheel movement compeiisating heading error carry Information on driver fatigue. The biological origin of fatigue is described and a simple method for calibration of fatigue based on the fuzzy approach is submitted. With the help of one type of fatigue indicators a possibility to identify the fatigue caused by sleep deprivacy is demonstrated.
Performances and reliability of a human operator are influenced by
fatigue. Influence of fatigue on the human operátor - car driver as a controller in the steering control loop is discussed. Demonstrated are possibilities of fatigue identification from small compensatory movernents of the steering wheel. Preliminary results of using a fatigue indicator based on the analysis of compensatory movernents of the steering wheel are introduced.
The main purpose of tliis contribution is to find indicators of the drivers’ fatigue based on compensatory movements of the steering wheel. We focus our attention on changes in delays in drivers’ information processing. We examine drivers fatigued by sleep deprivation. To avoid additional disturbances dne to complicated dynamics of car steering, the results of simple one-dimensional tracking was analyzed. Preliminary results support using three variables applicable as fatigue
indicators.