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.
Patent No.:
Date of Patent:
Mar. 22, 2022
Filed:
Sep. 02, 2020
Blue Planet Training, Inc., Montclair, NJ (US);
Haipeng Zeng, Kowloon, HK;
Xingbo Wang, Kowloon, HK;
Aoyu Wu, Kowloon, HK;
Yong Wang, Kowloon, HK;
Quan Li, Shenzhen, CN;
Huamin Qu, Kowloon, HK;
Blue Planet Training, Inc., Montclair, NJ (US);
Abstract
A computer implemented method and system processing a video signal. The method comprises comprising the steps of: detecting a human face displayed in the video signal and extracting physiological, biological, or behavior state information from the displayed face at a first level of granularity of the video signal; processing any two or more of: (i) a script derived from or associated with the video signal to extract language tone information from said script at a first level of granularity of the script; (ii) an audio signal derived from or associated with the video signal to derive behavior state information from said audio signal at a first level of granularity of the audio signal; (iii) a video image derived from the video signal to detect one or more human gestures of the person whose face is displayed in the video signal; and merging said physiological, biological, or behavior state information extracted from the displayed face in the video signal with any two or more of: (i) the language tone information extracted from the script; (ii) the behavior state information derived from the audio signal; and (iii) and the one or more human gestures derived from the video image, wherein the merging step is based on behavior state categories and/or levels of granularity.