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Monitoring Drowsy Drivers with Artificial Neural Network.
| 题名： | Monitoring Drowsy Drivers with Artificial Neural Network. |
| 作者： | Riaz Sayed; Azim Eskandarian |
| 关键词： | Monitoring; Drivers; Artificial Neural Network |
| 摘要： | This research is conducted for the purpose of detecting drowsiness/sleepiness of drivers for preventing traffic accidents on our highways. In this study we proposed a system which measures signals from the vehicle and then analyze those signals to detect drowsiness of driver. This method is based on an Artificial Neural Network (ANN). An ANN, with a hybrid architecture using an unsupervised clustering algorithm and a classifier, was trained and tested. Data used for training and testing was obtained from twelve drivers, each driving a simulator under different levels of sleep deprivation. We present a drowsiness detection method, which rely on signals from the vehicle only and thus present no obstruction to the driver. |
| 总页数： | ITS America. Meeting (11th : 2001 : Miami Beach, Fla.). ITS connecting the Americas : ITS 2001 : conference proceedings. 2001. pp12 |
| 报告类型： | 科技报告 |
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