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1. 发明授权

US09117358B2 Method for classification of eye closures 有权
标题翻译：眼闭眼分类方法
公开(公告)号：US09117358B2
公开(公告)日：2015-08-25
申请号：US13558780
申请日：2012-07-26
申请人： Daniel Levin , Lena Westervall , Susanna Leandersson , Peter Kronberg
发明人： Daniel Levin , Lena Westervall , Susanna Leandersson , Peter Kronberg
IPC分类号： A61B1/04 , G08B21/06 , A61B5/00 , A61B5/18 , B60W40/08
CPC分类号： G08B21/06 , A61B5/18 , A61B5/7221 , B60W40/08 , B60W2040/0827 , G06F19/00
摘要： The present invention generally relates to a method for improving the reliability of a portion of physiological data from an image sensor monitoring an operator positioned in an operator compartment of a vehicle. An embodiment of the method includes receiving, from the image sensor, physiological data including information relating to at least one of eye, face, head, arms and body motion of the operator, identifying an indication of at least an eyelid closure, eye movement or head movement of the operator based on the physiological data; comparing at least one of the physiological data and a lighting condition within the operator compartment with a set of rules for a current operator status; and classifying the type of eyelid closure, eye movement and/or head movement by correlating the identified eyelid closure, eye movement and/or head movement and a result of the comparison.
摘要翻译：本发明一般涉及一种用于提高来自监视位于车辆操作室中的操作员的图像传感器的一部分生理数据的可靠性的方法。该方法的实施例包括从图像传感器接收生理数据，其包括与操作者的眼睛，脸部，头部，手臂和身体运动中的至少一个有关的信息，识别至少一个眼睑闭合，眼睛运动或基于生理数据的操作员的头部运动; 将所述操作员室内的生理数据和照明条件中的至少一个与用于当前操作者状态的一组规则进行比较; 并通过将所识别的眼睑关闭，眼睛运动和/或头部移动与比较的结果相关联来分类眼睑闭合的类型，眼睛运动和/或头部运动。

2. 发明授权

US09101313B2 System and method for improving a performance estimation of an operator of a vehicle 有权
标题翻译：用于改善车辆操作者的性能估计的系统和方法
公开(公告)号：US09101313B2
公开(公告)日：2015-08-11
申请号：US13601844
申请日：2012-08-31
申请人： Daniel Levin , Lena Westervall , Gustav Markkula , Peter Kronberg , Trent Victor
发明人： Daniel Levin , Lena Westervall , Gustav Markkula , Peter Kronberg , Trent Victor
IPC分类号： A61B5/18 , G08B21/06 , B60W40/09 , B60W40/08
CPC分类号： A61B5/18 , B60W40/09 , B60W2040/0872 , B60W2540/10 , B60W2540/18 , B60W2550/308 , G08B21/06
摘要： System for improving a performance estimation of an operator of a vehicle, comprising a first module implementing a first method for estimating a performance state of vehicle operation, a second module implementing a second method for estimating at least one of a physiological and behavioral state of the operator, a device for sharing an estimated state between one of the first and the second module and the other one of the first and the second module, wherein the implemented estimation method of one of the first and the second module is adjusted based on the state of the other one of the first and the second module, thereby improving the estimation of at least one of the performance state of vehicle operation and the physiological and/or behavioral state of the operator.
摘要翻译：用于改善车辆操作者的性能估计的系统，包括实现用于估计车辆操作的性能状态的第一方法的第一模块，实现用于估计车辆操作的生理和行为状态中的至少一个的第二方法的第二模块操作者，用于在第一和第二模块之一和第一和第二模块中的一个模块之间共享估计状态的装置，其中基于状态来调整第一模块和第二模块之一的所实现的估计方法的第一模块和第二模块中的另一个模块，从而改进对车辆操作的性能状态和操作者的生理和/或行为状态中的至少一个的估计。

3. 发明申请

US20130073115A1 System And Method For Improving A Performance Estimation Of An Operator Of A Vehicle 有权
标题翻译：一种用于提高车辆操作员的性能估计的系统和方法
公开(公告)号：US20130073115A1
公开(公告)日：2013-03-21
申请号：US13601844
申请日：2012-08-31
申请人： Daniel LEVIN , Lena WESTERVALL , Gustav MARKKULA , Peter KRONBERG , Trent VICTOR
发明人： Daniel LEVIN , Lena WESTERVALL , Gustav MARKKULA , Peter KRONBERG , Trent VICTOR
IPC分类号： G06F17/00
CPC分类号： A61B5/18 , B60W40/09 , B60W2040/0872 , B60W2540/10 , B60W2540/18 , B60W2550/308 , G08B21/06
摘要： System for improving a performance estimation of an operator of a vehicle, comprising a first module implementing a first method for estimating a performance state of vehicle operation, a second module implementing a second method for estimating at least one of a physiological and behavioural state of the operator, a device for sharing an estimated state between one of the first and the second module and the other one of the first and the second module, wherein the implemented estimation method of one of the first and the second module is adjusted based on the state of the other one of the first and the second module, thereby improving the estimation of at least one of the performance state of vehicle operation and the physiological and/or behavioural state of the operator.
摘要翻译：用于改善车辆操作者的性能估计的系统，包括实现用于估计车辆操作的性能状态的第一方法的第一模块，实现用于估计车辆操作的生理和行为状态中的至少一个的第二方法的第二模块操作者，用于在第一和第二模块之一和第一和第二模块中的一个模块之间共享估计状态的装置，其中基于状态来调整第一模块和第二模块之一的所实现的估计方法的第一模块和第二模块中的另一个模块，从而改进对车辆操作的性能状态和操作者的生理和/或行为状态中的至少一个的估计。

4. 发明申请

US20130057671A1 METHOD FOR CLASSIFICATION OF EYE CLOSURES 有权
标题翻译：眼睛闭锁分类方法
公开(公告)号：US20130057671A1
公开(公告)日：2013-03-07
申请号：US13558780
申请日：2012-07-26
申请人： Daniel Levin , Lena Westervall , Susanna Leandersson , Peter Kronberg
发明人： Daniel Levin , Lena Westervall , Susanna Leandersson , Peter Kronberg
IPC分类号： H04N7/18
CPC分类号： G08B21/06 , A61B5/18 , A61B5/7221 , B60W40/08 , B60W2040/0827 , G06F19/00
摘要： The present invention generally relates to a method for improving the reliability of a portion of physiological data from an image sensor monitoring an operator positioned in an operator compartment of a vehicle. An embodiment of the method includes receiving, from the image sensor, physiological data including information relating to at least one of eye, face, head, arms and body motion of the operator, identifying an indication of at least an eyelid closure, eye movement or head movement of the operator based on the physiological data; comparing at least one of the physiological data and a lighting condition within the operator compartment with a set of rules for a current operator status; and classifying the type of eyelid closure, eye movement and/or head movement by correlating the identified eyelid closure, eye movement and/or head movement and a result of the comparison.
摘要翻译：本发明一般涉及一种用于提高来自监视位于车辆操作室中的操作员的图像传感器的一部分生理数据的可靠性的方法。该方法的实施例包括从图像传感器接收生理数据，其包括与操作者的眼睛，脸部，头部，手臂和身体运动中的至少一个有关的信息，识别至少一个眼睑闭合，眼睛运动或基于生理数据的操作员的头部运动; 将所述操作员室内的生理数据和照明条件中的至少一个与用于当前操作者状态的一组规则进行比较; 并通过将所识别的眼睑关闭，眼睛运动和/或头部移动与比较的结果相关联来分类眼睑闭合的类型，眼睛运动和/或头部运动。

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