Microsoft Technology Licensing, LLC

Rick Duncan

Robert J Jarrett

Jeffrey West Pettiross

Matthew Rubin Lerner

Sriram Viji

Leroy B Keely

Emily K Rimas-Ribikauskas

David B Perry

Emily K Rimas Ribikauskas

Adrian James Garside

Leroy Bertrand Keely, Jr

Sanjeev Kewal Verma

Chris Whytock

Kyle Thomas Beck

Clement Basile Fauchere

John Michael Calandrino

Chris Devaraj

Sarah W McDevitt

Tom Alphin

Sarah Mcdevitt

Described herein are techniques performed by an application executing on a computing device. The application may have a graphical user interface (GUI) comprised of graphic objects displayed on a display of the computing device. The application may also have state data managed and stored by the application. The state data may specify features and layout of the GUI. The graphic objects may be displayed according to the state data. The application may dynamically adjust a threshold to different levels by monitoring user interactions with the GUI via an input device and setting the threshold to the different levels according to the user interactions with the GUI. Operations from an external source directed to the GUI are received. Each operation has a corresponding priority specific to the operation. The priorities and threshold levels are compared to determine whether to implement the operations.

Preventing sync interruptions

A system and method for determining whether a flick gesture has occurred is described. A flick gesture is a simple gesture that may be easily detected and is characterized by minimal interference with other applications or gestures.

Flick gesture

A method for processing an image such as a computer wallpaper identifies a characteristic color representative of the image. Image pixels with similar colors are separated into groups, and the average value of the R,G,B color components in each group is determined, after filtering out pixels with R,G,B values representing white, black, or grey. The group with the maximum difference between the highest average color component value and the lowest average color component value is identified as the characteristic color. Groups representing a number of pixels less than a certain percentage of all of the pixels are not considered. The characteristic color can be used in other displayed images at an intensity &#x3b1; determined by setting maximum and minimum values of &#x3b1;, with &#x3b1; being the lesser of &#x3b1;and &#x3b1;plus the average color span of all pixels in the image.

Automatic adjustment of computer interface colors using image processing

Embodiments described herein are directed to simultaneously presenting a virtual touchpad and a graphical user interface of an operating system on the same display. A user can interact with the OS using the virtual touchpad, and user touches are read by a touch-screen portion of the display assigned to the touchpad. Touch input software converts touch packets from user touches into data packets relevant to the screen and display resolution of either the display or a portion of the display presenting the OS. Gesture-recognition software applies rules to the converted packets to determine which actions the user meant by the touches. And an application controlling a mouse cursor manipulates the mouse cursor according to the mouse actions.

Virtual touchpad

Method and system for training a user how to perform gestures

Asynchronous and synchronous gesture recognition

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Kirkland, WA, United States of America

Rick Duncan