为保证驾驶安全,提高车辆控制系统的智能化水平,实现"手不离盘"操作,设计并实现了一种基于眼电图(EOG)的安全辅助驾驶系统。该系统利用安装在驾驶员眼睛周围的生物电极采集其在观测抬头显示器(HUD,head up display)上提示符...为保证驾驶安全,提高车辆控制系统的智能化水平,实现"手不离盘"操作,设计并实现了一种基于眼电图(EOG)的安全辅助驾驶系统。该系统利用安装在驾驶员眼睛周围的生物电极采集其在观测抬头显示器(HUD,head up display)上提示符时所产生的扫视信号,生成多种车载设备控制命令;对原始多导联EOG信号进行端点检测后,使用了独立分量分析(ICA,independent component analysis)方法进行空域滤波后提取眼动信号特征参数,并结合支持向量机实现了上、左与右扫视动作的识别。实验室环境下对所提算法进行了测试,15位受试者在疲劳与非疲劳状态下的在线平均正确率达到了98.43%与96.0%。实验结果表明,基于ICA多类扫视信号识别算法的安全辅助驾驶系统在眼动信号分析中呈现出了良好的分类性能。展开更多
Bio-based human computer interface (HCI) has attracted more and more attention of researches all over the world in recent years. In this paper, a HCI system which based on electrooculogram (EOG) is proposed. It transf...Bio-based human computer interface (HCI) has attracted more and more attention of researches all over the world in recent years. In this paper, a HCI system which based on electrooculogram (EOG) is proposed. It transforms electrical po-tentials recorded by horizontal and vertical EOG into a computer in order to control external equipment. The system consists of EOG acqui-sition unit, EOG pattern recognition part and control command output unit. Three plane elec-trodes are employed to detect EOG signals, which contain the information related to the eye blinking and vertical (or horizontal) eye move-ments referred to pre-designed command table. An online signal processing algorithm is de-signed to get the command information con-tained in EOG signals, and these commands could be used to control the computer or other instruments. Based on this HCI system, the remote control experiments driven by EOG are realized.展开更多
文摘为保证驾驶安全,提高车辆控制系统的智能化水平,实现"手不离盘"操作,设计并实现了一种基于眼电图(EOG)的安全辅助驾驶系统。该系统利用安装在驾驶员眼睛周围的生物电极采集其在观测抬头显示器(HUD,head up display)上提示符时所产生的扫视信号,生成多种车载设备控制命令;对原始多导联EOG信号进行端点检测后,使用了独立分量分析(ICA,independent component analysis)方法进行空域滤波后提取眼动信号特征参数,并结合支持向量机实现了上、左与右扫视动作的识别。实验室环境下对所提算法进行了测试,15位受试者在疲劳与非疲劳状态下的在线平均正确率达到了98.43%与96.0%。实验结果表明,基于ICA多类扫视信号识别算法的安全辅助驾驶系统在眼动信号分析中呈现出了良好的分类性能。
文摘Bio-based human computer interface (HCI) has attracted more and more attention of researches all over the world in recent years. In this paper, a HCI system which based on electrooculogram (EOG) is proposed. It transforms electrical po-tentials recorded by horizontal and vertical EOG into a computer in order to control external equipment. The system consists of EOG acqui-sition unit, EOG pattern recognition part and control command output unit. Three plane elec-trodes are employed to detect EOG signals, which contain the information related to the eye blinking and vertical (or horizontal) eye move-ments referred to pre-designed command table. An online signal processing algorithm is de-signed to get the command information con-tained in EOG signals, and these commands could be used to control the computer or other instruments. Based on this HCI system, the remote control experiments driven by EOG are realized.
