ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Online Recognition of Chinese Characters: The State-of-the-Art
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tablet PC's as instructional tools or the pen is mightier than the 'board!
CITC5 '04 Proceedings of the 5th conference on Information technology education
Next-generation educational software: why we need it & a research agenda for getting it
ACM SIGGRAPH 2007 courses
LADDER, a sketching language for user interface developers
ACM SIGGRAPH 2007 courses
Sketch based interfaces: early processing for sketch understanding
ACM SIGGRAPH 2007 courses
Free-sketch recognition: putting the chi in sketching
CHI '08 Extended Abstracts on Human Factors in Computing Systems
PaleoSketch: accurate primitive sketch recognition and beautification
Proceedings of the 13th international conference on Intelligent user interfaces
Stroke order computer-based assessment with fuzzy measure scoring
WSEAS Transactions on Information Science and Applications
Sketch-based recognition system for general articulated skeletal figures
Proceedings of the Seventh Sketch-Based Interfaces and Modeling Symposium
New grouping and fitting methods for interactive overtraced sketches
The Visual Computer: International Journal of Computer Graphics
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The non-Romanized Mandarin Phonetic Symbols I (MPS1) system is a highly advantageous phonetic system for native English users studying Chinese Mandarin to learn, yet its steep initial learning curve discourages language programs to instead adopt Romanized phonetic systems. Computer-assisted language instruction (CALI) can greatly reduce this learning curve, in order to enable students to sooner benefit from the long-term advantages presented in MPS1 usage during the course of Chinese Mandarin study. Unfortunately, the technologies surrounding existing online handwriting recognition algorithms and CALI applications are insufficient in providing a ''dynamic'' counterpart to traditional paper-based workbooks employed in the classroom setting. In this paper, we describe our sketch recognition-based LAMPS system for teaching MPS1 by emulating the naturalness and realism of paper-based workbooks, while extending their functionality with human instructor-level critique and assessment at an automated level.