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Yi et al., 2015 - Google Patents

Real time learning evaluation based on gaze tracking

Yi et al., 2015

Document ID
9156278857455195007
Author
Yi J
Sheng B
Shen R
Lin W
Wu E
Publication year
Publication venue
2015 14th International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics)

External Links

Snippet

In this paper, we present a system that extracts the information implied by eye movements and use this information to analyze students' learning behavior. Our system uses a common webcam to capture students' facial image sequences when they are learning in front of …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268—Feature extraction; Face representation
    • G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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    • G06K9/00248—Detection; Localisation; Normalisation using facial parts and geometric relationships
    • G—PHYSICS
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    • G06K9/00288—Classification, e.g. identification
    • G—PHYSICS
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    • G—PHYSICS
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    • G06F17/30784—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre

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