3m Innovative Properties Company

Other

Richard J Moore

Guruprasad Somasundaram

Diane R Wolk

Cristin E Moran

David M Mahli

Pontus Axelsson

Michael Rotstein

Roland Persson

Brian J Stankiewicz

Ravishankar Sivalingam

Linus Åkerlund

Scott D Pearson

Jennifer Frances Schumacher

Robert D Lorentz

Tasuku Nakayama

Brian L Linzie

Kristopher W Clover

Willem V Bastiaens

Olen Ronning

Gabriel Alexander Biller

Dennard J Powell

Stephen M June

Masuma W Henry

Michael C Leighton

Kyle W English

Olof Roland Persson

Héctor M Aybar López

Staffan H Kjellberg

Eric C Lobner

Manoj Nirmal

James W Howard

Patrick A Thomas

William K Smyth

James A Thielen

Benjamin D Zimmer

Michael E O'Brien

Shingo Moriyasu

Scott J Reckinger

Linus Âkerlund

Brian R Hackerson

Héctor M Aybar LÓPEZ

Linus ÅKerlund

Michael E O'BRIEN

Gabriel A Biller

A device for recognizing activity of an object. The device has a housing configured to be attached to the object and a processing unit disposed in the housing has a processor and a movement sensor. The movement sensor measures a signal related to the movement of the object during a time window. The processor assigns at least one preliminary activity label to the time window based on at least one numerical descriptor computed from the signal. The processor then determines whether to perform additional analysis dependent upon at least the preliminary activity label. The processor then assigns a final activity label to the time window.

Activity recognition using accelerometer data

At least some aspects of the present disclosure feature a computing device configured to display visual representations of digital notes and one or more group images representing one or more groups on a user interface, where each group may include one or more digital notes. The computing device is further configured to receive one or more user inputs via the user interface and change the compositions of the groups based on the received user inputs.

Organizing digital notes on a user interface

In one example, a method includes receiving a digital note of a plurality of digital notes generated based on image data comprising a visual representation of a scene that includes a plurality of physical notes such that each of the plurality of digital notes respectively corresponds to a particular physical note of the plurality of physical notes, wherein each of the physical notes includes respective recognizable content. In this example, the method also includes receiving user input indicating a modification to one or more visual characteristics of the digital note. In this example, the method also includes editing, in response to the user input, the one or more visual characteristics of the digital note. In this example, the method also includes outputting, for display, a modified version of the digital note that includes the one or more visual characteristics.

Editing digital notes representing physical notes

Techniques for creating and manipulating software notes representative of physical notes are described. A computing device includes a processor, an image collection module executable by the processor and configured to receive an input image of an environment having a plurality of overlapping physical notes, and an image processing engine executable by the processor and configured to process the input image with the computing device to identify the plurality of overlapping physical notes in the input image. The image processing engine determines a boundary of each note in the plurality of overlapping physical notes in the input image, and generates a plurality of digital notes corresponding to the determined boundary of each of the overlapping physical notes identified in the input image.

Note recognition for overlapping physical notes

At least some embodiments of the present disclosure feature systems and methods for assessing the impact of visual features within a region of a scene. With the input of a visual representation of a scene and at least one selected region within the scene, the system applies a visual attention model to the visual representation to determine visual conspicuity of the at least one selected region. The system computes feature-related data associated with a plurality of features of the at least one selected region. Based on the visual conspicuity and the feature-related data, the system assesses an impact that at least one of the features within the at least one selected region have on the visual conspicuity.

Systems and methods for computing and presenting results of visual attention modeling

A mobile device comprises a sensor to produce image data containing a visual representation of a plurality of physical notes, each of the physical notes comprising separate physical objects, a processor, and at least one module. The module can process the image data to determine boundaries for each of the plurality of physical notes and to determine, based on the boundaries, one or more characteristics for each of the physical notes. The module can also create a digital note representative of each of the plurality of physical notes, apply a set of rules to identify any of the rules that specify criteria satisfied by one or more characteristics of the physical notes, and for each of the identified rules, perform one or more actions specified by the rule to each of the digital notes for which the characteristics of the physical notes satisfies the criteria specified by the rule.

Systems and methods for managing notes

Techniques for creating and manipulating software notes representative of physical notes are described. A note management system comprises a note recognition module configured to receive image data capturing a note having a plurality of color segments, wherein the note recognition module is further configured to generate a plurality of indicators, each indicator indicative of a color class of a pixel or group of pixels within the image data and based on color values of the pixel or group of pixels; and a note extraction module configured to determine general boundaries of the color segments of the note based on the plurality of indicators and extract content using the general boundaries, the content comprising a plurality of content pieces, each of the content pieces corresponding to one of the color segments of the note.

Systems and methods for note content extraction and management using segmented notes

Techniques are described for creating and manipulating software notes representative of physical notes. A computing device is described that includes a processor and an image collection module executable on the processor and configured to receive an input image of an environment having a plurality of physical notes. An image processing engine executable on the processor is configured to identify the plurality of physical notes in the input image and generate, for each of the physical notes, a corresponding digital note. The image processing engine is further configured to identify an indication of one or more groups of the plurality of identified notes in the input image and group the plurality of digital notes according to the indication.

Note recognition and association based on grouping indicators

At least some aspects of the present disclosure feature systems and methods for managing notes. The note management system includes a note source, a note recognition module, a note extraction module, and a note labeling module. The note source is a visual representation of a scene having a note. The note recognition module is configured to receive the visual representation and determine a general boundary of the note from the visual representation. The note extraction module is configured to extract content of the note from the visual representation based on the determined general boundary. The note labeling module is configured to label the note with a category.

This disclosure describes techniques for creating and manipulating software notes representative of physical notes. For example, techniques are described for recognizing physical notes present within a physical environment, capturing information therefrom and creating corresponding digital representations of the physical notes, referred to herein as digital notes or software-based notes. At least some aspects of the present disclosure feature system and methods for note recognition using color classification. The system receives a visual representation of a scene having one or more notes, where each note has a color. The system generates indicators indicative of color classes of pixels in the visual representation. The system further determines a general boundary of one of the notes based on the indicators.

Note recognition and management using color classification

Techniques for creating and manipulating software notes representative of physical notes are described. A note management system comprises a sensor configured to capture an image data of a physical note, wherein the note is separated into one or more segments using marks, wherein each of the segments is marked by at least one of the marks. The note management system further comprises a note recognition module coupled to the sensor, the note recognition module configured to receive the captured image data and identify the marks on the note, and a note extraction module configured to determine general boundaries of the one or more segments within the captured image data based on the identified marks and extract content using the general boundaries, the content comprises content pieces, each of the content pieces corresponding to one of the one or more segments of the note.

Systems and methods for note content extraction and management by segmenting notes

At least some aspects of the present disclosure feature systems and methods for note recognition. The note recognition system includes a sensor, a note recognition module, and a note extraction module. The sensor is configured to capture a visual representation of a scene having one or more notes. The note recognition module is coupled to the sensor. The note recognition module is configured to receive the captured visual representation and determine a general boundary of a note from the captured visual representation. The note extraction module is configured to extract content of the note from the captured visual representation based on the determined general boundary of the note.

Systems and methods for note recognition

Growing community of inventors

Maplewood, MN, United States of America

Richard J Moore