Microsoft Technology Licensing, LLC

Other

Eric Norman Badger

Timothy S Paek

Drew Elliott Linerud

Dmytro Rudchenko

Itai Almog

Harish Kulkarni

Parthasarathy Sundararajan

Jacob Daniel Cohen

Akhilesh Kaza

Andrew Douglas Peterson

Kenneth R Walters

Shawna Julie Davis

Asela J Gunawardana

Jason Anthony Grieves

Daniel Allen Rosenfeld

Jonathan Campbell

Tirthankar Sengupta

Christian Klein

Jan-Kristian Markiewicz

Jose Alberto Rodriguez

Peter Gregory Davis

Jeffrey E Stall

Bo-June Hsu

Hugh A Teegan

Daryn Elliot Robbins

Peter John Ansell

Raymond Quan

Lynn Dai

Timothy Seung Yoon Paek

Jason Michael Bower

Dan Hwang

Max Chickering

Jerome Stephen Healy

Paul John Olczak

Emily Lynn Bender

Sophia Sixue Chen

Stephanie Ling Diao

Grant M Wynn

Drew Elliot Linerud

Connor Colin Marwan Al-joundi

Tyler Duckworth

Qiang Wu

David Maxwell Chickering

Curtis Glenn Wong

Timothy David Sharpe

John S Holmes

Takanobu Murayama

John R Selbie

Alexandra K Heron

Kenichi Morimoto

Ann M Paradiso

Cameron Ali Etezadi

Ganapathy V Raman

Xin Gong

Stacia Scott

Raghuveer Simha

Daniel Chang

Sameer Garde

Chit Wei Saw

Duoc Nguyen

Chongming Ho

Leah Pearlman

Ahmed Azmy Hassan

Ram Aringunrum

Steven G Glenner

Dwayne Lamb

Hector Barbera

James H Cook

Drew E Linerud

Jason A Grieves

Manuel Garcia Fierro

Bo June Hsu

The techniques disclosed herein implement a centralized lighting module configured to control a diverse set of lighting-enabled peripheral devices. The set of lighting-enabled peripheral devices is diverse with respect to a type and a manufacturer. The lighting module is referred to as a centralized lighting module because the lighting module is part of an operating system of a computing device. Consequently, a user of the computing device no longer has to download and learn to use multiple different lighting applications if the user wants to create a diverse lighting ecosystem in which lighting-enabled peripheral devices from different manufacturers are connected to the computing device. Similarly, a developer of a computing application no longer has to engage and interact with multiple application programming interfaces (APIs) and software development kits (SDKs) if the developer wants users of their computing application to be able to create a diverse lighting ecosystem.

Centralized control of lighting-enabled peripheral devices

Systems and methods related to intelligent typing and responses using eye-gaze technology are disclosed herein. In some example aspects, a dwell-free typing system is provided to a user typing with eye-gaze. A prediction processor may intelligently determine the desired word or action of the user. In some aspects, the prediction processor may contain elements of a natural language processor. In other aspects, the systems and methods may allow quicker response times from applications due to application of intelligent response algorithms. For example, a user may fixate on a certain button within a web-browser, and the prediction processor may present a response to the user by selecting the button in the web-browser, thereby initiating an action. In other example aspects, each gaze location may be associated with a UI element. The gaze data and associated UI elements may be processed for intelligent predictions and suggestions.

Intelligent response using eye gaze

Techniques for providing adaptive assistive technology for assisting users with visual impairment can be used on a computing device. These techniques include displaying content to a user, capturing a series of images or video of the user using a camera, analyzing the series of images or video to determine whether the user is exhibiting behavior or characteristics indicative of visual impairment, and rendering a magnification user interface on the display configured to magnify at least a portion of the content of the display based on a determination that the user is exhibiting behavior or characteristics indicative of visual impairment. The magnification user interface may be controlled based on head and/or eye movements of the user of the computing device.

Eye gaze control of magnification user interface

Systems and methods disclosed herein relate to assigning dynamic eye-gaze dwell-times. Dynamic dwell-times may be tailored to the individual user. For example, a dynamic dwell-time system may be configured to receive data from the user, such as the duration of time the user takes to execute certain actions within applications (e.g., read a word suggestion before actually selecting it). The dynamic dwell-time system may also prevent users from making unintended selections by providing different dwell times for different buttons. Specifically, on a user interface, longer dwell times may be established for the critical keys (e.g., 'close' program key, “send” key, word suggestions, and the like) and shorter dwell times may be established for the less critical keys (e.g., individual character keys on a virtual keyboard, spacebar, backspace, and the like).

Dynamic eye-gaze dwell times

Systems and methods disclosed herein relate to assigning dynamic eye-gaze dwell-times. Dynamic dwell-times may be tailored to the individual user. For example, a dynamic dwell-time system may be configured to receive data from the user, such as the duration of time the user takes to execute certain actions within applications (e.g., read a word suggestion before actually selecting it). The dynamic dwell-time system may also prevent users from making unintended selections by providing different dwell times for different buttons. Specifically, on a user interface, longer dwell times may be established for the critical keys (e.g., 'close' program key, 'send' key, word suggestions, and the like) and shorter dwell times may be established for the less critical keys (e.g., individual character keys on a virtual keyboard, spacebar, backspace, and the like).

The described embodiments allow for the association of an interaction with a target in a display. One embodiment includes detecting an interaction with an area associated with a graphical element in a display, detecting a later interaction displaced from the area, and associating the later interaction with a target in the display based at least on the time between the interaction with the area and the later interaction. User interactions with one or more displayed hit targets are based on corresponding time-varying hit zones. In response to unlimited user interaction with a hit target, subsequent user selections are validated based on a time-varying hit zone that is typically extended with respect to the previously selected hit target. The extended selection zone can overlap one or more other hit targets to favor re-selection of the individually selected hit target. The extended selection zone generally decreases as a function of time from prior selections of a hit zone.

Distance-time based hit-testing for displayed target graphical elements

Apparatus and methods are disclosed for providing feedback and guidance to touch screen device users to improve the text entry user experience and performance. According to one embodiment, a method comprises receiving a text entry, receiving input on a touch screen in the form of a first single touch input located over a word of previously entered text, and presenting the user with one or more suggestion candidates indicated possible replacement words related to the selected word. The user can then select one of the suggestion candidates using a second single touch input to replace the selected word with a word associated with the selected suggestion candidate.

Typing assistance for editing

The systems and methods described herein assist persons with the use of computers based on eye gaze, and allow such persons to control such computing systems using various eye trackers. The systems and methods described herein use eye trackers to control cursor (or some other indicator) positioning on an operating system using the gaze location reported by the eye tracker. The systems and methods described herein utilize an interaction model that allows control of a computer using eye gaze and dwell. The data from eye trackers provides a gaze location on the screen. The systems and methods described herein control a graphical user interface that is part of an operating system relative to cursor positioning and associated actions such as Left-Click, Right-Click, Double-Click, and the like. The interaction model presents appropriate user interfaces to navigate the user through applications on the computing system.

Controlling a computer using eyegaze and dwell

Quick tasks for on-screen keyboards are described in which an on-screen keyboard supports a plurality of quick tasks configured to edit selected text in defined ways. Quick task functions may be assigned to keys of the on-screen keyboard in addition to the default actions or 'normal' character entry functions of the keys. During text input, the keys operate normally to perform a function related to character entry, such as to cause input of corresponding text character. When text is selected or in other designated interaction scenarios, operation of a key associated with a quick task may automatically trigger the quick task to modify selected text in a corresponding way. Thus, the same key of an on-screen keyboard may be employed to initiate a function related to character entry or apply of a quick task to text depending upon the interaction scenario.

Quick tasks for on-screen keyboards

An apparatus and method are disclosed for providing feedback and guidance to touch screen device users to improve text entry user experience and performance by generating input history data including character probabilities, word probabilities, and touch models. According to one embodiment, a method comprises receiving first input data, automatically learning user tendencies based on the first input data to generate input history data, receiving second input data, and generating auto-corrections or suggestion candidates for one or more words of the second input data based on the input history data. The user can then select one of the suggestion candidates to replace a selected word with the selected suggestion candidate.

User-centric soft keyboard predictive technologies

Growing community of inventors

Issaquah, WA, United States of America

Eric Norman Badger