Gesture typing in messaging applications with contextual data
OwnerDhananjay Lalinventor
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OwnerDhananjay Lalinventor
Estimating the term…
Systems and methods for improving gesture-based typing in applications where contextual data is used to provide improved word suggestions corresponding to a gesture (i.e., trajectory of hand movement on a digital keyboard) are described. A high-level context is determined by applying techniques such as natural language processing to one or more data categories. Based on the determined high-level context, context specific databases are accessed to obtain additional context specific words. A high priority list (HPL) is generated based on the both the obtain context specific words and the lexicon. The words in the HPL are ranked based on their probability of matching the gesture entered by the user and a top ranked words or words are displayed for input. If suggested word is not accepted by the user, then based on determining a similarity between two sequential gestures, previously suggested words are not repeatedly suggested.
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