Automatic handwritten statics solution classification and its applications in predicting student performance

ASEE Annual Conference and Exposition, Conference Proceedings

Volumn , Issue , 2012, Pages

  Lin, Han Lung ^a   Stahovich, Thomas ^a   Herold, James ^a  

^a University of California Riverside   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EDUCATION; ENGINEERING EDUCATION; ENGINEERING RESEARCH;

DATA SET; DIGITAL RECORDS; ENGINEERING STATICS; FREE BODY DIAGRAMS; ITS APPLICATIONS; STUDENT PERFORMANCE; TEMPORAL AND SPATIAL; TOTAL LENGTH;

STUDENTS;

EID: 85029098605     PISSN: None     EISSN: 21535965     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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2. Levent Burak Kara, Thomas F. Stahovich, An Image-Based, Trainable Symbol Recognizer for Hand-drawn Sketches Computers & Graphics 29(4): 501-517 2005
3. Eric Peterson, Thomas Stahovich, Eric Doi, Christine Alvarado, Grouping Strokes into Shapes in Hand-Drawn Diagrams Proc. of the 24th AAAI Conference on Artificial Intelligence (AAAI-10), 2010, pp. 974-979
4. Patel, R.; Plimmer, B.; Grundy, J.; and Ihaka, R. 2007. Ink features for diagram recognition. In Proc. of SBIM.
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7. Wang, X.; Biswas, M.; and Raghupathy, S. 2007. Addressing class distribution issues of the drawing vs. writing classification in an ink stroke sequence. In Proc. of SBIM.
8. Gennari, L.; Kara, L. B.; and Stahovich, T. F. 2005. Combining geometry and domain knowledge to interpret handdrawn diagrams.
9. Hall, M.; Frank, E.; Holmes, G.; Pfahringer, B.; Reutemann, P.; and Witten, I. H. 2009. The WEKA data mining software: An update. SIGKDD Explor. Newsl. 11(1).