METHOD AND SYSTEM TO ATTRIBUTE METADATA TO PREEXISTING DOCUMENTS
    2.
    发明申请
    METHOD AND SYSTEM TO ATTRIBUTE METADATA TO PREEXISTING DOCUMENTS 审中-公开
    将元数据归因于预处理文件的方法和系统

    公开(公告)号:US20160224516A1

    公开(公告)日:2016-08-04

    申请号:US14609820

    申请日:2015-01-30

    Abstract: This disclosure provides a method and system to convert a first digital representation of a document including a first format to a second digital representation of the document including a second format. According to an exemplary method, a preexisting printed assessment is scanned to produce an image file and an educational assessment analysis system captures an image area associated with a question, processes the captured image area to automatically assign metadata associated with an independent assessment creation process to the captured image area, which is subsequently processed to generate an assessment based on the assigned metadata which conforms with a format consistent with the independent assessment creation process.

    Abstract translation: 本公开提供了一种将包括第一格式的文档的第一数字表示转换成包括第二格式的文档的第二数字表示的方法和系统。 根据示例性方法,扫描预先存在的印刷评估以产生图像文件,并且教育评估分析系统捕获与问题相关联的图像区域,处理所捕获的图像区域以将与独立评估创建过程相关联的元数据分配给 捕获的图像区域,其随后被处理以基于分配的元数据生成评估,所述元数据符合与独立评估创建过程一致的格式。

    Learning emotional states using personalized calibration tasks

    公开(公告)号:US09767349B1

    公开(公告)日:2017-09-19

    申请号:US15149284

    申请日:2016-05-09

    CPC classification number: G06K9/00335 G06K9/00302 G06K9/00315

    Abstract: A method for determining an emotional state of a subject taking an assessment. The method includes eliciting predicted facial expressions from a subject administered questions each intended to elicit a certain facial expression that conveys a baseline characteristic of the subject; receiving a video sequence capturing the subject answering the questions; determining an observable physical behavior experienced by the subject across a series of frames corresponding to the sample question; associating the observed behavior with the emotional state that corresponds with the facial expression; and training a classifier using the associations. The method includes receiving a second video sequence capturing the subject during an assessment and applying features extracted from the second image data to the classifier for determining the emotional state of the subject in response to an assessment item administered during the assessment.

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