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:
Aug. 16, 2016

Filed:

Dec. 06, 2013
Applicants:

At&t Intellectual Property I, L.p., Atlanta, GA (US);

President and Fellows of Harvard College, Cambridge, MA (US);

Inventors:

Saeed S. Ghassemzadeh, Andover, NJ (US);

Lusheng Ji, Randolph, NJ (US);

Robert Raymond Miller, II, Convent Station, NJ (US);

Manish Gupta, Cambridge, MA (US);

Vahid Tarokh, Cambridge, MA (US);

Assignees:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 7/00 (2006.01); G06N 5/04 (2006.01); G06N 99/00 (2010.01); G06F 19/00 (2011.01);
U.S. Cl.
CPC ...
G06N 99/005 (2013.01); G06F 19/30 (2013.01); G06N 5/04 (2013.01); G06N 7/005 (2013.01);
Abstract

A method, computer-readable storage device and apparatus for determining a mode of motion are disclosed. For example, a method receives training data comprising gait information associated with a plurality of different modes of motion. The method performs principal component analysis on the training data to extract principal components from the training data and generates a hidden markov model for each of a plurality of different modes of motion based upon the training data. The method receives testing data comprising gait information, transforms the testing data based upon the principal components and calculates a likelihood of the testing data based upon each hidden markov model for each of the plurality of different modes of motion. The method determines the mode of motion of the testing data, where the mode of motion is one of the plurality of different modes of motion for which a highest likelihood is calculated.


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