Microsoft Technology Licensing, LLC

Other

Microsoft Technology Licnesing, LLC

Gregory Ray Smith

George G Robertson

Mary P Czerwinski

Brian R Meyers

David W Russo

Daniel Morris

Arungunram Chandrasekaran Surendran

Nuria M Oliver

Amy Kathleen Karlson

Chintan S Thakkar

Desney S Tan

John Charles Krumm

Eric J Horvitz

Patrick Markus Baudisch

Daniel Chaim Robbins

T Scott Saponas

Dugald R Hutchings

Shwetak N Patel

Nicolas Villar

Asta Jane Roseway

Sumit Basu

Sidhant Gupta

Barrett Brumitt

Gabriel Adam Cohn

Stephen C Harris

Sailaja Malladi

Ronald E Paulsen

Jacob T Biehl

Uwe Pakendorf

Denny Gumlich

Lauren Gabrielle Wilcox-Patterson

John K Ikeda

Hugh E McLoone

Bongshin Lee

Geoffrey M Kizer

Jonathan Bernard Lester

Richard Henry Irving

David Charles Kale

Jeremiah Wander

John W King

Kazi Rubaiat Habib

Deborah Ann Louis Wallace

Scott T Saponas

David C Kale

Various technologies described herein pertain to presenting a graphical object on a display screen. An indication that specifies a selected value attribute from a dataset for the graphical object and an example icon for the graphical object can be received. The example icon is a cluster of strokes, where a stroke is a mark that is displayable on the display screen. The graphical object is generated based upon the example icon and data for the selected value attribute from the dataset. The graphical object includes instances of the example icon respectively modified based upon the data for the selected value attribute from the dataset. The graphical object can be caused to be displayed on the display screen. Creation of strokes of the instances of the example icon included in the graphical object can be recorded for subsequent replay. The graphical object can be annotated and/or modified by filtering the data.

Engaging presentation through freeform sketching

A first data window of a pulse waveform signal comprising a first number of samples is analyzed to determine a level of confidence that a pulse sensing device is placed correctly. If an initial level of confidence is met, the user is given positive feedback, and a second data window of a pulse waveform signal comprising a second, larger number of samples is analyzed. If an increased level of confidence is met, the user is given increased positive feedback. If a level of confidence is not met, the user is given negative feedback. If a final level of confidence is met, the user is given feedback that the pulse sensing device is placed correctly.

Wearable pulse sensing device signal quality estimation

Described herein are technologies pertaining to automatic generation of an executive summary (explanation) of a medical event in an electronic medical record (EMR) of a patient. A medical event in the EMR is automatically identified, and a search is conducted over a document corpus based upon the identified medical event. A document retrieved as a result of the search is analyzed for a portion of text to act as an executive summary for the medical event. Each portion of text in the document is assigned a score, and the portion of text assigned the highest score is utilized as the executive summary for the medical event.

Automatic generation of an executive summary for a medical event in an electronic medical record

A wrist-worn device heart-monitoring device is presented. The wrist-worn heart-monitoring device includes a radial tonometer configured to output a pressure signal indicating a pulse pressure wave at a user's wrist, two or more electrodes configured to output an electrical signal indicating a user's heart has been commanded to contract, and a microphone configured to output an audio signal indicating a closing of a user's aortic valve. The wrist-worn heart-monitoring device further includes a pulse transit time monitor configured to calculate a pre-ejection period of the user's heart based on at least the pressure, electrical, and audio signals, and calculate a pulse transit time based on at least the pre-ejection period, the pressure signal, and the electrical signal.

Wrist-worn pulse transit time sensor

A collaborative phone-based file exchange technique that wirelessly synchronizes a user's work context with his or her mobile phone and makes this context readily available and sharable in collaborative situations. When the user is away from their desk, collaboration with others is possible by sharing/downloading between the mobile phone and a paired PC, which may be a colleague's computer or a meeting room workstation/computer. When the user returns to their office, any recently downloaded files are automatically synchronized back to their office PC.

Collaborative phone-based file exchange

A hierarchical shared resources spatial visualization system and method including a visualization runtime user interface that quickly and efficiently displays a spatial layout of a shared resource having a hierarchical nature. The user interface provides a spatial layout of the hierarchical shared resource and overlays salient activity information of a group's interaction with the shared resource. In software development, the user interface provides software teams with awareness of activity by other developers in the group regarding files in the shared source code base. The salient activity includes active file information (such as which files are open and by whom) and source repository actions (such as a developer's activity within a project's source repository system). Visual geometry and colors are employed to create a visually distinctive environment that is used to convey the salient activity information quickly and efficiently.

Spatial layout of hierarchical shared resources

A wrist-worn pressure sensing device includes a pressure sensor. The wrist-worn pressure sensing device also includes a first strap that sets the position of the pressure sensor on a wearer's wrist and a second strap that engages with the first strap to adjust the overall length of the strap without moving the set position of the pressure sensor on the wearer's wrist.

Sizable wrist-worn pressure sensing device

A framework is provided for obtaining window information. The window information can be applied to different assignment models to assign windows to different groups. A group may correspond to a task being performed by a user. The window information can be semantic or temporal information captured as window events and properties of windows whose events are captured. Temporal information can be information about switches between windows. Semantic information can be window titles. Temporal information, semantic information, or both, can be used to assign windows to groups.

Window grouping

Some examples relate to facilitating multi-tasking in a computing environment. A focus area component defines a focus area within a display space&#x2014;the focus area occupying a subset area of the display space area. A scaling component scales display objects as a function of proximity to the focus area, and a behavior modification component modifies respective behavior of the display objects as a function their location of the display space. Some implementations provide for interaction technique(s) and user interface(s) in connection with managing display objects on a display surface. Further, some examples define a central focus area, such that the display objects are displayed and behave as usual. Also included is a periphery outside the focus area where the display objects are reduced in size based on their location, getting smaller as the display objects near an edge of the display surface with many more objects visible.

Scaling of displayed objects with shifts to the periphery

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Bellevue, WA, United States of America

Gregory Ray Smith