Systems and methods for providing visual allocation management

A method for managing visual allocation, comprising:

• storing one or more models, the one or more models including at least one of:
• (1) a model corresponding to a plurality of candidate states;
• and
• (2) a plurality of models in which each model corresponds to one of the plurality of candidate states;
• and
• receiving visual data corresponding to a person engaging in an activity during a continuous period of time;
• identifying a sequence of glances from the visual data and, for each glance in the sequence of glances, identify corresponding glance information, the glance information including a glance direction;
• classifying each of the glances in the sequence of glances into a spatial region selected from among a set of predetermined spatial regions, based on their respective glance information;
• identifying, based on the one or more models, the presence of one or more states of the person while engaging in the activity during the continuous period of time, by inputting into each of the stored one or more models model input data including one or more of (1) the classification of the glances in the sequence of glances and (2) the glance information of the glances in the sequence of glances;
• and
• outputting feedback based on the identified one or more states, wherein the one or more models correspond to one or more candidate states of the person that are not at least one of observable or detectable from the received visual data, and
• wherein each candidate state and identified one or more states corresponds to at least one of an attention, awareness, emotion, a mental state, or a physical state of a person.

A system for managing visual allocation, comprising:

• at least one memory;
• and
• at least one processor communicatively coupled to the at least one memory, the at least one processor being operable to:
• receive (1) visual data corresponding to a plurality of people engaging in an activity during a continuous period of time, and (2) state data including one or more states present in the plurality of people while engaging in the activity during the continuous period of time;
• calculate one or more mathematical structures using the visual data;
• train one or more models corresponding to each of the one or more states, based on one or more of the calculated mathematical structures;
• store the trained one or more models in the one or more memories;
• and
• identify, using the trained one or more models, the presence of at least one of the one or more states using visual data of a person engaging in the activity during a different continuous period of time, wherein the one or more models correspond to one or more states of the person that are not at least one of observable or detectable from the received visual data, and
• wherein each identified one or more states corresponds to at least one of an attention, awareness, emotion, a mental state, or a physical state of a person.