Driving Distraction Detection Method Based on Supported Vector Data Descreption Emotion Recognition

摘要：

A new approach to recognize the state of driver distraction was proposed. Firstly, the strong relationships between driving distraction and the physiological or visual signals were discussed. Secondly, an algorithm was developed based on support vector data description from the physiological signal databases. And the algorithm consisted of signal preprocessing, feature extraction and pattern classification. To reduce the computational complexity and improve the robustness of the algorithm, the support vector data description was adopted as a pattern classifier. Finally, the results of recognition experiments showed the effectiveness of this method.

关键词： driving distracion visual information physiological signals support vector data descripiton

作者: Qun WU Zhi-Qiang ZENG

作者单位: School of Art & Design Zhejiang Sci-Tech University Hangzhou, China Department of Computer Science and Technology Xiamen University of Technology Xiamen,China

会议类型: 国际会议

会议名称: 2011 IEEE 12th International Conference on Computer-Aided Industrial Design & Conceptual Design(2011年第12届国际计算机辅助工业设计与概念设计学术会议)

会议地点: 重庆

会议语种:英文

页码: 1-4

在线出版日期: 2011-12-01（万方平台首次上网日期，不代表论文的发表时间）