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US Patent 11688203 Systems and methods for providing visual allocation management

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Massachusetts Institute of Technology
Massachusetts Institute of Technology
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Current Assignee
Massachusetts Institute of Technology
Massachusetts Institute of Technology
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
116882030
Date of Patent
June 27, 2023
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Patent Application Number
171200090
Date Filed
December 11, 2020
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Patent Citations
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US Patent 7455405 Method and system for perceptual suitability test of a driver
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US Patent 7460940 Method and arrangement for interpreting a subjects head and eye activity
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US Patent 7463157 Method and system for recognizing driver impairment
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US Patent 7463961 Method for adapting lockout of navigation and audio system functions while driving
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US Patent 7468673 System and method for determining whether a vehicle operator has an impaired cognitive state
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US Patent 7532958 Method for real-time assessment of driver workload by a navigation or telematics device
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US Patent 7639148 Method and arrangement for controlling vehicular subsystems based on interpreted driver activity
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US Patent 7656313 Method and system for supporting path control
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...
Patent Primary Examiner
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Phenuel S Salomon
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CPC Code
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G06N 5/04
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G06N 20/00
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G06N 7/005
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G06K 9/6297
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Systems and methods for managing visual allocation are provided herein that use models to determine states based on visual data and, based thereon, output feedback based on the determined states. Visual data is initially obtained by a visual allocation management system. The visual data includes eye image sequences of a person in a particular state, such as engaging in a task or activity. Visual features can be identified from the visual data, such that glance information including direction and duration can be calculated. The visual data, information derived therefrom, and/or other contextual data is input into the models, which correspond to states, to calculate probabilities that the particular state that the person is engaged in is one of the modeled states. Based on the state identified as having the highest probability, an optimal feedback, such as a warning or instruction, can be output to a connected devices, systems, or objects.

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