Estimating VDT Visual Fatigue Based on the Features of ECG Waveform

摘要：

In order to find an objective evaluation method of visual fatigue, we simulate VDT (Visual Display Terminal) operating environment, and test 34 students for 1.5 hour VDT fatigue experiment. ECG (Electrocardiogram) signals are collected from the subjects by using the MP425 data acquisition card and LABVIEW acquisition system. The features of ECG waveforms are extracted by analyzing and processing ECG signals. SVM (Support Vector Machine) is adopted to identify visual fatigue state. The results show that ECG signal features change significantly before and after VDT fatigue experiment, the accuracy rate of classification is above 80％ by using a single ECG feature, and the accuracy rate of classification is above 90％ by using features combination. Hence ECG waveform features and SVM could be a promising method for estimating VDT visual fatigue.

关键词： visual fatigue ECG feature extraction SVM

作者: Aihua Zhang Zhiyue Zhao Yetai Wang

作者单位: Collage of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China Lanzhou University of Technology, Lanzhou, China

会议类型: 国际会议

会议名称: 2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)

会议地点: 青岛

会议语种:英文

页码: 446-449

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）