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US Patent 10037458 Automated sign language recognition

Patent 10037458 was granted and assigned to King Fahd University of Petroleum and Minerals on July, 2018 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors
Is a
Patent
Patent
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Current Assignee
King Fahd University of Petroleum and Minerals
King Fahd University of Petroleum and Minerals
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Date Filed
May 2, 2017
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Date of Patent
July 31, 2018
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Patent Applicant
King Fahd University of Petroleum and Minerals
King Fahd University of Petroleum and Minerals
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Patent Application Number
15584361
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Patent Citations Received
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US Patent 12002236 Automated gesture identification using neural networks
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US Patent 11055521 Real-time gesture recognition method and apparatus
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US Patent 11756205 Methods, devices, apparatuses and storage media of detecting correlated objects involved in images
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US Patent 11804077 Generic gesture detecting method and generic gesture detecting device
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US Patent 11928592 Visual sign language translation training device and method
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US Patent 11954904 Real-time gesture recognition method and apparatus
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US Patent 10311294 Motion recognition via a two-dimensional symbol having multiple ideograms contained therein
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US Patent 10289903 Visual sign language translation training device and method
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US Patent 10275646 Motion recognition via a two-dimensional symbol having multiple ideograms contained therein
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US Patent 10325147 Motion recognition via a two-dimensional symbol having multiple ideograms contained therein
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•••
Patent Inventor Names
Ala Addin Sidig
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Sabri A. Mahmoud
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
10037458
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Patent Primary Examiner
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Michael Colucci
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