Fatigue detection based on infrared video pupillography
Detection of drowsiness can be used in many fields toprevent accidents caused by human errors in machine andvehicle operations. The pupil which is innervated by theautonomic nervous system was found to change in parallel with the level of alertness. In this paper, we introduce a fatiguedetection system based on infrared video pupillography. Asubjects level of vigilance was distinguished by comparing thewaveform of the varying pupile diameter of an alter person with a drowsy persons. The design of the system is illustrated in thispaper, as well as the correct way to calculate the pupil size whenthe pupile boundary is occluded by eyelids or eyelashes. Theresults show that significant differences can be found in drowsyand alert groups: in the drowsy group, pupil diameter fluctuateswith large amplitude at low frequencies; while in the alert grouppupil size remains stable for a long time and oscillating withamplitudes rarely exceeding ±5%(about 0.3mm).
Lifang Deng Xingliang Xiong Jin Zhou Ping Gan Shixiong Deng
Laboratory of Forensic Medicine and Biomedical Information Chongqing Medical University Chongqing, China
国际会议
成都
英文
1-4
2010-06-18（万方平台首次上网日期，不代表论文的发表时间）