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    • 30. 发明申请
    • METHOD FOR CLASSIFICATION OF EYE CLOSURES
    • 眼睛闭锁分类方法
    • US20130057671A1
    • 2013-03-07
    • US13558780
    • 2012-07-26
    • Daniel LevinLena WestervallSusanna LeanderssonPeter Kronberg
    • Daniel LevinLena WestervallSusanna LeanderssonPeter Kronberg
    • H04N7/18
    • G08B21/06A61B5/18A61B5/7221B60W40/08B60W2040/0827G06F19/00
    • 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.
    • 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。