Enhanced rejection of out-of-vocabulary words

A vocabulary and gesture technology, applied in the field of interactive devices, can solve complex problems and achieve the effect of increasing accuracy

Active Publication Date: 2010-09-15
QUALCOMM INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As mobile devices gain more and more features, accessing all of these features can become increasingly complex given the limited number of controls that can be provided on a mobile device

Method used

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  • Enhanced rejection of out-of-vocabulary words
  • Enhanced rejection of out-of-vocabulary words
  • Enhanced rejection of out-of-vocabulary words

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Embodiment Construction

[0038] According to a general embodiment, if the number of states of an input gesture does not satisfy a predetermined threshold when compared with the corresponding state of the selected simulated gesture of the vocabulary, the input gesture is rejected as being out of vocabulary. Using a Hidden Markov Model, the gesture that simulates the gesture as the closest matching vocabulary to the input gesture is selected. While other factors, such as whether the order of states of an input gesture matches the corresponding order of states of a selected simulated gesture, may be the basis for accepting or rejecting an input gesture because it is an "in-vocabulary" or "out-of-vocabulary" gesture .

[0039] Thus, and instead of selecting a controller on the mobile device or on the user interface, the user can move (e.g., move their hand or other body part, or move the mobile device) through a series of actions defining a gesture to invoke the Certain functionality associated with gest...

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Abstract

Enhanced rejection of out-of-vocabulary words, in which, based on applying an input gesture to hidden Markov models collectively modeling a vocabulary of training gestures, a likelihood that the input gesture matches each training gesture, and a quantity of states of the input gesture that match corresponding states of a modeled training gesture determined to have a highest likelihood are determined. The input gesture is rejected if the determined quantity does not satisfy a threshold.

Description

[0001] Cross References to Related Applications [0002] This application claims the benefit of U.S. Provisional Patent Application No. 60 / 956,776, filed August 20, 2007, and U.S. Provisional Patent Application No. 60 / 956,784, filed August 20, 2007, both of which are incorporated by reference here. technical field [0003] The present disclosure relates generally to interacting devices, and at least one specific embodiment relates to interacting with mobile devices using a defined set of gestures. Background technique [0004] Mobile devices such as cell phones or personal digital assistants (PDAs) have several functions, each of which can be activated by user selection of a unique sequence of keys or using on-screen menus. As mobile devices gain more and more features, accessing all of these features can become increasingly complex given the limited number of controls that can be provided on the mobile device. Contents of the invention [0005] According to a general em...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/28G06F3/038G06F3/048G06F3/0481G06F3/0488
CPCG06F3/017G06K9/00355G06F3/0346G06V40/28G06F3/0488
Inventor 阿蒂德·沙梅弗朗西斯·麦克杜格尔
Owner QUALCOMM INC
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