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:
Mar. 04, 2025

Filed:

Oct. 31, 2023
Applicant:

Nant Holdings Ip, Llc, Culver City, CA (US);

Inventors:

Kamil Wnuk, Playa Del Rey, CA (US);

Nicholas J. Witchey, Laguna Hills, CA (US);

Assignee:

Nant Holdings IP, LLC, Culver City, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 40/20 (2022.01); B25J 9/16 (2006.01); G06F 16/22 (2019.01); G06F 16/23 (2019.01); G06F 16/2457 (2019.01); G06F 16/28 (2019.01); G06F 16/783 (2019.01); G06F 16/901 (2019.01); G06F 18/22 (2023.01); G06T 11/20 (2006.01); G06V 10/426 (2022.01); G06V 20/10 (2022.01); G06V 40/10 (2022.01);
U.S. Cl.
CPC ...
G06V 40/23 (2022.01); B25J 9/1697 (2013.01); G06F 16/2228 (2019.01); G06F 16/23 (2019.01); G06F 16/24578 (2019.01); G06F 16/285 (2019.01); G06F 16/7837 (2019.01); G06F 16/9024 (2019.01); G06F 18/22 (2023.01); G06T 11/206 (2013.01); G06V 10/426 (2022.01); G06V 20/10 (2022.01); G06V 40/10 (2022.01);
Abstract

An activity recognition system is disclosed. A plurality of temporal features is generated from a digital representation of an observed activity using a feature detection algorithm. An observed activity graph comprising one or more clusters of temporal features generated from the digital representation is established, wherein each one of the one or more clusters of temporal features defines a node of the observed activity graph. At least one contextually relevant scoring technique is selected from similarity scoring techniques for known activity graphs, the at least one contextually relevant scoring technique being associated with activity ingestion metadata that satisfies device context criteria defined based on device contextual attributes of the digital representation, and a similarity activity score is calculated for the observed activity graph as a function of the at least one contextually relevant scoring technique, the similarity activity score being relative to at least one known activity graph.


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