Emily R Vincent

US Patent:

20180259486, Sep 13, 2018

Filed:

Mar 7, 2018

Appl. No.:

15/914200

Inventors:

- Cambridge MA, US
Michael Stillo - Somerville MA, US
Kimberly Ryan - Malden MA, US
Emily Vincent - Somerville MA, US
Kelly Sprehn - Waltham MA, US
Ryan M. Brill - Cambridge MA, US
Gregory G. Busillo - Belmont MA, US
Fei Sun - Belmont MA, US

International Classification:

G01N 27/82
G01N 17/00
G06T 19/00

Abstract:

A defect visualization system includes an augmented reality display system to display an image representing a defect, such as missing metal, in a ferromagnetic material when a user gazes at a portion of the ferromagnetic material hosting the defect, based on magnetic field data provide by a magnetometry system, thereby facilitating locating the defect and replacing magnetometers after the defect has been repaired, even if location references originally present on cladding material are lost or destroyed during the repair.

US Patent:

20180101391, Apr 12, 2018

Filed:

Oct 6, 2017

Appl. No.:

15/727447

Inventors:

- Cambridge MA, US
Emily Catherine Vincent - Cambridge MA, US
Zahar Prasov - Cambridge MA, US
Krysta Elise Chauncey - Cambridge MA, US
Caroline Elizabeth Harriott - Cambridge MA, US
Craig Edward Masley - Cambridge MA, US
Hugh Matthew Enxing - Cambridge MA, US
Harry Tian Gao - Cambridge MA, US

International Classification:

G06F 9/44

Abstract:

In an embodiment, a method includes associating a user interaction with a respective command of a library of commands of an application run by a processor. The user interactions are inputted to a graphical user interface (GUI) presented by the application to a user, for example, at a display. The method further includes identifying each of the user interactions with a library of commands of the GUI presented by the application by assigning each user interaction an event identification. The method further includes, in response to one of the event identifications, modifying a dimension of the plurality of user interactions. The method further includes adapting the GUI of the application based on the categorization by presenting command interfaces associated with user interactions predicted by the dimension in the adapted GUI.