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:
Sep. 19, 2017

Filed:

Oct. 19, 2016
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Jui-Hsin Lai, White Plains, NY (US);

Lifeng Nai, Atlanta, GA (US);

Toyotaro Suzumara, New York, NY (US);

Yinglong Xia, Rye Brook, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); H04W 12/06 (2009.01); G06F 15/16 (2006.01); H04W 12/08 (2009.01);
U.S. Cl.
CPC ...
H04L 63/0861 (2013.01); H04L 63/083 (2013.01); H04L 63/0853 (2013.01); H04W 12/06 (2013.01); H04W 12/08 (2013.01);
Abstract

A system, method and computer program product for real-time recognition of individuals. The method comprises: receiving at a hardware processor, a first sensor data associated with the individual. The first sensor data associated with the individual is processed to determine an activity the individual is currently engaged in. Additionally, a second sensor data associated with the individual is received and processed to determine a feature associated with a muscle of said individual while engaged in activity. Based on the received sensor data and determined activity and muscle features, the method generates a model that correlates determined activities and corresponding muscle features of the individual user with the individual's identity. The model is subsequently used to identify the individual. By receiving and inputting real-time, sensor data from an individual into said generated model, the model generates and determines: an activity and a muscle feature for use in identifying the individual.


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