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:
Apr. 12, 2022

Filed:

Aug. 24, 2017
Applicant:

Cloudminds Robotics Co., Ltd., Santa Clara, CA (US);

Inventors:

Qiang Li, Santa Clara, CA (US);

Silvio Savarese, Santa Clara, CA (US);

Charles Robert Jankowski, Jr., Santa Clara, CA (US);

William Xiao-Qing Huang, Santa Clara, CA (US);

Zhe Zhang, Santa Clara, CA (US);

Xiaoli Fern, Santa Clara, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06N 20/00 (2019.01); G06F 3/01 (2006.01); G06K 9/62 (2022.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 3/016 (2013.01); G06K 9/6256 (2013.01); G06F 3/013 (2013.01); G06N 3/0454 (2013.01);
Abstract

A data annotation apparatus for machine learning is provided, which includes a stimulus generation portion, a biometrics reading portion, and a data integration portion. The stimulus generation portion is configured to generate, and present to an agent, at least one stimulus based on a first data from a first machine learning dataset. The biometrics reading portion is configured to measure at least one response of the agent to the at least one stimulus, and to generate biometrics data based on the at least one response. The data integration portion is configured to integrate the biometrics data, data of the at least one stimulus, and data of the first machine learning dataset to thereby obtain a second machine learning dataset. The data annotation apparatus can result in an improved data labeling and an enhanced machine learning.


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