Arousal State Assessment Using Blink Pattern Analysis Based on Camera Images in a Simulated Automated Driving Environment
模擬自動運転環境におけるカメラ映像に基づく瞬目パターン分析を用いた覚醒状態推定
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20265114
- Paper/Info type
- Proceedings (Spring)
No.27-26
- Pages
- 1-6(Total 6 p)
- Date of publication
- May 2026
- Publisher
- JSAE
- Language
- Japanese
- Event
- 2026 JSAE Annual Congress (Spring)
Detailed Information
| Author(J) | 1) 竹内 大樹, 2) 大須賀 美恵子, 3) 鎌倉 快之 |
|---|---|
| Author(E) | 1) Hiroki Takeuchi, 2) Mieko Ohsuga, 3) Yoshiyuki Kamakura |
| Affiliation(J) | 1) 産業医科大学, 2) 大阪工業大学, 3) 大阪工業大学 |
| Affiliation(E) | 1) University of Occupational and Environmental Health, 2) Osaka Institute of Technology, 3) Osaka Institute of Technology |
| Abstract(J) | 自動運転レベル3では緊急時にドライバへの権限委譲が生じるため，ドライバの注意・覚醒状態の把握が求められる．そこで，カメラ映像から推定した瞬目波形のパターン別出現割合の変化を指標の一つとする覚醒状態推定手法を検討している．本発表では，模擬自動運転環境での覚醒低下実験データへの適用結果を報告する． Translation |
| Abstract(E) | In automated driving levels 3, authority may be transferred to the driver in emergency situations, making it necessary to monitor the driver's attention and arousal states. Therefore, we are examining an arousal state assessment method that uses changes in the occurrence ratios of blink patterns estimated from camera images as one of the indices. In this presentation, we report the results of applying this method to arousal-decline experimental data obtained in a simulated automated driving environment. |
