Research On Fatigue Driving By Using Absolute Detection Of Brain Imaging Of Near-infrared Spectroscopy

In freight industry, 57 percentage of fatal traffic accidents are caused by fatigue driving. Fatigue driving has been main effects of traffic accidents, thus it is impending and indispensable to develop a technique to detect drivers’ fatigue conditions in time. Functional near infrared spectroscopy(fNIRS) is a noninvasive detection technology that has been used to detect brain blood hemodynamic parameters; and fNIRS absolute detection will provide a referent evaluation criterion to fatigue driving research. In this project, we used fNIRS to develop a brain functional imager to absolute detection and utilized it in the process of simulating driving. Finally, we recruited several driver-volunteers to conduct involuntary attention experiments for our fatigue driving research.In this paper, we compared fNIRS with other different brain functional imagers and investigated present situations of fatigue driving research. Then we introduced the fNIRS we utilized in this project and carried out the development and application of this fNIRS.For the algorithm, we designed in vitro blood optics model experiment based on simple fNIRS device, calibrated and filtered the existing extinction coefficients for relative detection of blood parameters. Finally, we deduced the absolute detection algorithm of blood parameters.For the development of device, we designed a device to absolutely detect the blood parameters of prefrontal lobe. First and foremost, we conducted the Monte Carlo simulation to simulate the transportation of photons in the prefrontal lobe. Then, according to the results of the simulation, we designed the flexible probe to collect data. Moreover, we designed control circuits to control probe’s light sources lighting time, order and data collection. The control circuits contains control module, constant current drive module, A/D conversion module and a data acquisition switch. At last, we designed a software interface to display and storage the real time data acquisition and tested it by ink experiment and blood block experiment.For the application, considered that involuntary attention has a close correlation to brain information processing and driver fatigue, we designed an involuntary attention experiment to stimulate the drivers by sounds, direction and traffic LED judgement and record the drivers’ reactions. Based on Presentation development platform, we utilized VB language to develop above-mentioned three experiment procedure for fatigue driving research.In the driving simulation process of this project, we collected and analyzed the drivers’ behavior data and brain functional blood hemodynamic parameters. The results show that with the increasing driving time, the drivers’ deoxygenated hemoglobin concentration increased. It indicates that fNIRS we developed has a high potential in noninvasive detection of fatigue driving.