Microsoft Technology Licensing, LLC

John Guido Atkins Weiss

Peter Vale

Duncan

James David Holbery

Aric Ahkeel Fitz-Coy

Christian Moller

Stephanie Jo Rodgers-Ahnen

Robert J Levy

Vivek Pradeep

Moshe Randall Lutz

Maxim Mazeev

Pablo Luis Sala

Scot Daniel Anderson

Christian Juland Moller

An entity-tracking computing system receives sensor information from a plurality of different sensors. The positions of entities detected by the various sensors are resolved to an environment-relative coordinate system so that entities identified by one sensor can be tracked across the fields of detection of other sensors.

Entity-tracking computing system

Embroidered sensor assemblies are described that are formed on a flexible substrate, such as a suitable fabric material. The embroidered sensors can be configured as a pattern of wires that enable measurement of strain based on positional relationships between nodes formed by the pattern of wires. As a pipe or other object flexes, the positional relationships are altered and can be detected to facilitate computation of strain. Strain can be deduced at each individual node, which can then be used to create a strain profile or map for the object.

Embroidered sensor assembly

Selection regions can be recognized from multiple simultaneous inputs. Input selection regions are calculated from simultaneous contacts on a multi-touch input display surface. Computer system users can use natural and/or more intuitive hand gestures to select items on an input/display surface. Selection regions can be dynamically adjusted to in response to detected changes in contact at different locations on a surface. For example, selection region changes can be updated in essentially real-time as fingers are added and moved on the multi-touch input display surface, and as the surface is scrolled. The calculation of selection regions can vary based on an application and/or operating system context.

Recognizing selection regions from multiple simultaneous input

Embroidered sensor assemblies are described that are formed on a flexible substrate, such as a suitable fabric material. Conductive patterns are embroidered into the flexible substrate to form an array of sensors that can be configured in various ways and used in many different applications. A sensor assembly can implement touch sensitive sensors arranged to recognize input by measuring capacitance. The sensor assembly can also implement pressure and/or force sensitive controls for an input device, such as a keyboard. Other types of sensing are also contemplated such as detection of proximity, motion, flow, gestures, and/or strain. A conductive pattern can be formed in a single layer of material and/or via a single continuous run of conductive material. The embroidered sensor assembly is flexible and therefore can be shaped to conform to various different kinds of objects and form 'smart' surfaces for those objects.

A control system is disclosed that is configurable (e.g., by a programmer) so as to enable input from multiple sources to capture to multiple controls. Also or alternatively, the system is configurable so as to enable input from multiple sources to capture to a single control. The system also provides a consistent and extendable scheme for filtering out conflicting events for individual controls. In one embodiment, this means that the system is configurable (e.g., based on the programmer's asserted preferences) so as to enable a selective determination as to whether additional inputs can be captured for a given control.

Selective enabling of multi-input controls

The present invention extends to methods, systems, and computer program products for recognizing multiple input point gestures. A recognition module receives an ordered set of points indicating that contacts have been detected in a specified order at multiple different locations on a multi-touch input surface. The recognition module determines the position of subsequently detected locations (e.g., third detected location) relative to (e.g., to the left of right of) line segments connecting previously detected locations (e.g., connecting first and second detected locations). The gesture module also detects whether line segments connecting subsequently detected locations (e.g., connecting third and fourth detected locations) intersect line segments connecting previously detected locations (e.g., connecting first and second detected locations). The gesture module recognizes an input gesture based on the relative positions and whether or not line segments intersect. The gesture module then identifies a corresponding input operation (e.g., cut, paste, etc.) to be performed.

Recognizing multiple input point gestures

The present invention extends to methods, systems, and computer program products for recognizing selection regions from multiple simultaneous inputs. Input selection regions are calculated from simultaneous contacts on a multi-touch input display surface. Computer system users can use natural and/or more intuitive hand gestures to select items on an input/display surface. Selection regions can be dynamically adjusted to in response to detected changes in contact at different locations on a surface. For example, selection region changes can be updated in essentially real-time as fingers are added and moved on the multi-touch input display surface. The calculation of selection regions can vary based on an application and/or operating system context.

Recognizing selection regions from multiple simultaneous inputs

The present invention extends to methods, systems, and computer program products for recognizing multiple input point gestures. A recognition module receives an ordered set of points indicating that contacts have been detected in a specified order at multiple different locations on a multi-touch input surface. The recognition module determines the position of subsequently detected locations (e.g., third detected location) relative to (e.g., to the left of right of) line segments connecting previously detected locations (e.g., connecting first and second detected locations). The gesture module also detects whether line segments connecting subsequently detected locations (e.g., connecting third and fourth detected locations) intersect line segments connecting previously detected locations (e.g., connecting first and second detected locations). The gesture module recognizes an input gesture based on the relative positions and whether or not line segments intersect. The gesture module then identifies a corresponding input operation to be performed.

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Lake Forest Park, WA, United States of America

John Guido Atkins Weiss