Microsoft Technology Licensing, LLC

Microsoft Technology Liecsnsing, LLC

Ian C LeGrow

Reed L Townsend

Erik Michael Geidl

Shawn R LeProwse

Steven Nabil Bathiche

John Clavin

Otto G Berkes

Joseph Reginald Scott Molnar

Todd E Holmdahl

Shawn R Leprowse

In accordance with one or more aspects of a dynamic soft keyboard, a user input is received via a soft keyboard having multiple keys. Information describing a current input environment for the soft keyboard is obtained, and a determination is made as to which one or more keys of the multiple keys was intended to be selected by the user input. This determination is made based at least in part on the current input environment.

Dynamic soft keyboard

Disclosed herein are techniques for scaling and translating gestures such that the applicable gestures for control may vary depending on the user's distance from a gesture-based system. The techniques for scaling and translation may take the varying distances from which a user interacts with components of the gesture-based system, such as a computing environment or capture device, into consideration with respect to defining and/or recognizing gestures. In an example embodiment, the physical space is divided into virtual zones of interaction, and the system may scale or translate a gesture based on the zones. A set of gesture data may be associated with each virtual zone such that gestures appropriate for controlling aspects of the gesture-based system may vary throughout the physical space.

Distance scalable no touch computing

In a gesture-based system, gestures may control aspects of a computing environment or application, where the gestures may be derived from a user's position or movement in a physical space. Gesture recognition data, used to recognize gestures from captured data representative of a user's input gestures, may be evolved based on captured data from a plurality of users. A common set or default set of gesture recognition data may be evolved by selecting a plurality of users for tracking. Captured data of the plurality of users may be processed to identify input gesture data for the plurality of users, and the gesture recognition data may be evolved based on features of the input gesture data that is common to multiple users. The evolved gesture recognition data may be implemented not only for the users tracked, but for users not tracked. An identifier may identify when the evolved gesture recognition data applies and implement the evolved gesture recognition data when the identifier is present.

Evolving universal gesture sets

Growing community of inventors

Redmond, WA, United States of America

Ian C LeGrow