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. 25, 2020

Filed:

Oct. 17, 2018
Applicant:

Fmr Llc, Boston, MA (US);

Inventors:

Samir Kakkar, Karnataka, IN;

Hilary Lex, Tucson, AZ (US);

Neha Dave, Karnataka, IN;

Richa Srivastava, Karnataka, IN;

Assignee:

FMR LLC, Boston, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/25 (2013.01); G10L 15/22 (2006.01); G10L 25/63 (2013.01); G06K 9/00 (2006.01); G10L 15/30 (2013.01); G10L 15/19 (2013.01); G10L 15/08 (2006.01); H04M 3/51 (2006.01);
U.S. Cl.
CPC ...
G10L 15/22 (2013.01); G06K 9/00302 (2013.01); G10L 15/19 (2013.01); G10L 15/30 (2013.01); G10L 25/63 (2013.01); G10L 2015/088 (2013.01); H04M 3/5191 (2013.01); H04M 2203/401 (2013.01);
Abstract

Methods and apparatuses are described for automated execution of computer software based upon determined empathy of a communication participant. A server captures a digitized voice segment from a remote computing device. The server analyzes vocal cues of the digitized voice segment to generate a voice empathy score. The server converts speech in the digitized voice segment into text and determines empathy keywords in the text to generate a keyword empathy score. The server captures digitized images of the participant's face and analyzes physical expressions of the face to identify emotions and generate a facial empathy score. The server generates an overall empathy confidence score for the communication participant based upon the voice empathy score, the keyword empathy score, and the facial empathy score. The server generates recommended changes for the user based upon the overall empathy confidence score and executes a software application that displays the recommended changes.


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