Vision-Based Instant Measurement System for Driver Fatigue Monitoring

Yin Cheng Tsai, Peng Wen Lai, Po Wei Huang, Tzu Min Lin, Bing Fei Wu

研究成果: 雜誌貢獻文章同行評審

6 引文 斯高帕斯(Scopus)

摘要

In this paper, a vision-based physiological signal measurement system is proposed to instantly measure driver fatigue. A remote photoplethysmography (rPPG) signal is a type of physiological signal measured by a camera without any contact device, and it also retains the characteristics of the PPG, which is useful to evaluate fatigue. To solve the inconvenience caused by the traditional contact-based physiological fatigue detection system and to improve the accuracy, the system measures both the motional and physiological information by using one image sensor. In a practical application, the environmental noise would affect the measured signal, and therefore, we performed a preprocessing step on the signal to extract a clear signal. The experiment was designed in collaboration with Taipei Medical University, and a questionnaire-based method was used to define fatigue. The questionnaire that could directly react to the feeling of the subject was treated as our ground truth. The evaluated correlation was 0.89 and the root mean square error was 0.65 for ten-fold cross-validation on the dataset. The trend of driver fatigue could be evaluated without a contact device by the proposed system. This advantage ensures the safety of the driver and reliability of the system.

原文英語
文章編號9058685
頁(從 - 到)67342-67353
頁數12
期刊IEEE Access
8
DOIs
出版狀態已發佈 - 2020
對外發佈

ASJC Scopus subject areas

  • 電腦科學(全部)
  • 材料科學(全部)
  • 工程 (全部)

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