| Autor: |
Aihua Zhang, Zhiyue Zhao, Yetai Wang |
| Předmět: |
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| Zdroj: |
Proceedings of the International Workshop on Information Security & Application; 2009, p446-449, 4p, 3 Charts, 1 Graph |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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