The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 14, 2020

Filed:

Jun. 30, 2017
Applicant:

The Nielsen Company (Us), Llc, New York, NY (US);

Inventors:

Anand Jain, Ellicott City, MD (US);

John Stavropoulos, Edison, NJ (US);

Alan Neuhauser, Silver Spring, MD (US);

Wendell Lynch, East Lansing, MI (US);

Vladimir Kuznetsov, Ellicott City, MD (US);

Jack Crystal, Owings Mills, MD (US);

Assignee:

The Nielsen Company, New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2012.01); G01P 15/18 (2013.01); G01P 15/00 (2006.01); G06F 17/00 (2019.01);
U.S. Cl.
CPC ...
G01P 15/18 (2013.01); G01P 15/00 (2013.01); G06F 17/00 (2013.01); G06Q 30/02 (2013.01); G06Q 30/0201 (2013.01);
Abstract

Systems and methods are disclosed for identifying portable devices carried by the same person. An example method includes receiving media exposure data from one of a plurality of portable computing devices. Receiving segmented accelerometer data from the plurality of portable computing devices. Forming accelerometer classification data for the plurality of portable computing devices based on features extracted from the segmented accelerometer data. Comparing the accelerometer classification data for the first portable computing device to accelerometer classification data for the plurality of portable computing devices, to determine if the accelerometer classification data for the first portable computing device is sufficiently similar to a second portable computing devices. The example method further includes identifying the first and second portable computing device as being physically carried by a same person when the comparison determines that the accelerometer classification data for the first portable computing device is sufficiently similar to the second computing devices.


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