Massachusetts Institute of Technology

Andres Mauricio Munoz Delgado

Linda Sala Angell

Joonbum Lee

Bobbie Danielle Seppelt

Bruce L Mehler

Bryan L Reimer

Joseph F Coughlin

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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England, United Kingdom

Andres Mauricio Munoz Delgado