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US Patent 11783645 Multi-camera, multi-sensor panel data extraction system and method

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Contents

Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11783645
Patent Inventor Names
Roman Olshansky
Date of Patent
October 10, 2023
Patent Application Number
17476014
Date Filed
September 15, 2021
Patent Citations
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US Patent 10152695 Machine learning based system and method of calculating a match score and mapping the match score to a level
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US Patent 10438135 Performance model adverse impact correction
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US Patent 10489439 System and method for entity extraction from semi-structured text documents
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US Patent 10607188 Systems and methods for assessing structured interview responses
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US Patent 10657498 Automated resume screening
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US Patent 10694097 Method, apparatus and system for an autonomous robotic photo booth
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US Patent 10728443 Automatic camera angle switching to create combined audiovisual file
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US Patent 10735396 Selectively specifying account access recovery process based on account activity
...
Patent Citations Received
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US Patent 11961044 Behavioral data analysis and scoring system
0
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US Patent 11863858 Automatic camera angle switching in response to low noise audio to create combined audiovisual file
0
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US Patent 11861904 Automatic versioning of video presentations
0
Patent Primary Examiner
‌
Zhihan Zhou
CPC Code
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H04R 3/005
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H04N 7/181
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H04N 5/77
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G07C 5/0866
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G07C 5/0891
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H04R 5/027
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G07C 5/0858
Patent abstract

A system and method are presented for combining visual recordings from a camera, audio recordings from a microphone, and behavioral data recordings from behavioral sensors, during a panel discussion. Cameras and other sensors can be assigned to specific individuals or can be used to create recordings from multiple individuals simultaneously. Separate recordings are combined and time synchronized, and portions of the synchronized data are then associated with the specific individuals in the panel discussion. Interactions between participants are determined by examining the individually assigned portions of the time synchronized recordings. Events are identified in the interactions and then recorded as separate event data associated with individuals.

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