Date: | September 8, 2011 |
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Location: | DC 1331 |
Time: | 11:30 |
Chair: | Jamie Ruiz |
Date: | September 15, 2011 | September 22, 2011 | September 29, 2011 | October, 6, 2011 |
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Location: | DC 1331 11:30 | DC 1331 11:30 | DC 1331 11:30 | DC 1331 11:30 |
Chair: | Mike Terry |
Matthew Thorne |
Dan Vogel |
Zainab AlMeraj |
Technical Presentation: | Alex Pytel |
Mike Terry |
Matthew Thorne |
Dan Vogel |
Matei Negulescu |
Title : A Recognition Safety Net: Bi-Level
Abstract: Designers of motion gestures for mobile devices face the difficult challenge of building a recognizer that can separate gestural input from motion noise. A threshold value is used to classify motion and effectively balances the rates of false positives and false negatives. We present a bi-level threshold recognizer that is built to lower the rate of recognition failures by accepting either a tightly thresholded gesture or two consecutive possible gestures recognized by a looser model. We evaluate bi-level thresholding with a pilot study in order to gauge its effectiveness as a recognition safety net for users who have difficulty activating a motion gesture. Lastly, we suggest the use of bi-level thresholding to scaffold learning of motion gestures. |
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