Xerox Corporation

Conduent Business Services, LLC

Megan Clar

Eric Harte

Robert P Loce

Raja Bala

Beilei Xu

Eric Michael Gross

Matthew Adam Shreve

Dennis Lee Venable

Eric Scott Hamby

Thomas F Wade

Jayant Kumar

Mary Ann Sprague

Phillip J Emmett

Hao Wu

Patricia Swenton-Wall

Jeyasri Subramanian

Waqas Sultani

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.

Method and system to attribute metadata to preexisting documents

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.

Learning emotional states using personalized calibration tasks

A method for detecting settle-down time in a space includes acquiring a sequence of frames capturing a select space from a first camera. The method includes determining an initial time for computing a duration it takes for an associated occupant to settle into a seat in the select space. The method includes determining one or more candidate frames from the sequence of frames where one or both of a sitting behavior and seat occupancy is observed at the seat. The method includes determining a final frame and a final time associated with the final frame from the one or more candidate frames. The method includes computing the settle-down time using the initial and the final times.

System and method for detecting settle down time using computer vision techniques

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Rochester, NY, United States of America

Megan Clar