Yang Li
ABSTRACT
Protractor is a novel gesture recognizer that can be easily implemented and quickly customized for different users. Protractor uses a nearest neighbor approach, which recognizes an unknown gesture based on its similarity to each of the known gestures, e.g., training samples or examples given by a user. In particular, it employs a novel method to measure the similarity between gestures, by calculating a minimum angular distance between them with a closed-form solution. As a result, Protractor is more accurate, naturally covers more gesture variation, runs significantly faster and uses much less memory than its peers. This makes Protractor suitable for mobile computing, which is limited in processing power and memory. An evaluation on both a previously published gesture data set and a newly collected gesture data set indicates that Protractor outperforms its peers in many aspects.
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Slides from the presentation
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Digital Library
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- Wobbrock, J.O., Wilson, A. and Li, Y., Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes, UIST'07. 2007. p. 159--168. Google ScholarDigital Library
- Zhai, S. and Kristensson, P.-O. Shorthand writing on stylus keyboard. CHI'03. 2003. p. 97--104. Google ScholarDigital Library
Index Terms
- Protractor: a fast and accurate gesture recognizer
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