Abstract: Automatically assessing a physiological state of a user may include capturing, by an eye tracking device, eye movement of a user as eye movement data, providing the eye movement data to a machine-learning model trained to identify associations between one or more patterns in the eye movement data and one or more characteristics of one or more physiological states, outputting, by the machine-learning model, the physiological state of the user based on the identified associations, determining an intervention for the user based on the output physiological state, and outputting the intervention.

Abstract: Systems and methods are disclosed for evaluating human eye tracking. One method includes receiving data representing the location of and/or information tracked by an individual's eye or eyes before, during, or after the individual performs a task; identifying a temporal phase or a biomechanical phase of the task performed by the individual; identifying a visual cue in the identified temporal phase or biomechanical phase; and scoring the tracking of the individual's eye or eyes by comparing the data to the visual cue.

Abstract: Systems and methods are disclosed for assessing user physiology via eye tracking data. One method includes determining a plurality of visual assessments; determining, for each assessment of the plurality of visual assessments, a data schema, where at least one data schema is associated with more than one assessment of the plurality of visual assessments; storing the determined data schema; receiving user eye tracking data associated with a selected visual assessment of the plurality of visual assessments; determining, of the stored data schema (a), a selected stored data schema associated with the selected visual assessment; categorizing the received eye tracking data based on the selected stored data schema; computing quantitative data based on the categorized data and data related to one or more individuals other than the user; generating a report of user physiological function based on the computed quantitative data; and outputting the report to a web portal.

Abstract: Systems and methods are disclosed hosting multiple visual assessments, evaluating user performance on the assessments, and providing recommendations to assess and improve user visual performance. One method includes hosting a plurality of visual assessments; presenting, via a web portal, a user interface for selecting one or more visual assessments of the hosted plurality of visual assessments; receiving, via a web portal, a request for a user to access a visual assessment, wherein the visual assessment is an assessment out of the hosted plurality of assessments; administering the visual assessment to the user; receiving user performance data associated with a user, in response to the administered visual assessment; comparing the user performance data with performance data associated with one or more other users; and generating a report of user visual performance based on the user performance data, wherein the report is accessible to the user via the web portal.

Abstract: Systems and methods are disclosed hosting multiple visual assessments, evaluating user performance on the assessments, and providing recommendations to assess and improve user visual performance. One method includes hosting a plurality of visual assessments; presenting, via a web portal, a user interface for selecting one or more visual assessments of the hosted plurality of visual assessments; receiving, via a web portal, a request for a user to access a visual assessment, wherein the visual assessment is an assessment out of the hosted plurality of assessments; administering the visual assessment to the user; receiving user performance data associated with a user, in response to the administered visual assessment; comparing the user performance data with performance data associated with one or more other users; and generating a report of user visual performance based on the user performance data, wherein the report is accessible to the user via the web portal.

Abstract: Systems and methods are disclosed for assessing user physiology via eye tracking data. One method includes determining a plurality of visual assessments; determining, for each assessment of the plurality of visual assessments, a data schema, where at least one data schema is associated with more than one assessment of the plurality of visual assessments; storing the determined data schema; receiving user eye tracking data associated with a selected visual assessment of the plurality of visual assessments; determining, of the stored data schema(a), a selected stored data schema associated with the selected visual assessment; categorizing the received eye tracking data based on the selected stored data schema; computing quantitative data based on the categorized data and data related to one or more individuals other than the user; generating a report of user physiological function based on the computed quantitative data; and outputting the report to a web portal.

Abstract: Systems and methods are disclosed for evaluating human eye tracking. One method includes receiving data representing the location of and/or information tracked by an individual's eye or eyes before, during, or after the individual performs a task; identifying a temporal phase or a biomechanical phase of the task performed by the individual; identifying a visual cue in the identified temporal phase or biomechanical phase; and scoring the tracking of the individual's eye or eyes by comparing the data to the visual cue.

Abstract: Systems and methods are disclosed hosting multiple visual assessments, evaluating user performance on the assessments, and providing recommendations to assess and improve user visual performance. One method includes hosting a plurality of visual assessments; presenting, via a web portal, a user interface for selecting one or more visual assessments of the hosted plurality of visual assessments; receiving, via a web portal, a request for a user to access a visual assessment, wherein the visual assessment is an assessment out of the hosted plurality of assessments; administering the visual assessment to the user; receiving user performance data associated with a user, in response to the administered visual assessment; comparing the user performance data with performance data associated with one or more other users; and generating a report of user visual performance based on the user performance data, wherein the report is accessible to the user via the web portal.

Abstract: Systems and methods are disclosed for evaluating human eye tracking. One method includes receiving data representing the location of and/or information tracked by an individual's eye or eyes before, during, or after the individual performs a task; identifying a temporal phase or a biomechanical phase of the task performed by the individual; identifying a visual cue in the identified temporal phase or biomechanical phase; and scoring the tracking of the individual's eye or eyes by comparing the data to the visual cue.

Abstract: Systems and methods are disclosed for evaluating human eye tracking. One method includes receiving data representing the location of and/or information tracked by an individual's eye or eyes before, during, or after the individual performs a task; identifying a temporal phase or a biomechanical phase of the task performed by the individual; identifying a visual cue in the identified temporal phase or biomechanical phase; and scoring the tracking of the individual's eye or eyes by comparing the data to the visual cue.

Abstract: Systems and methods are disclosed for evaluating human eye tracking. One method includes receiving data representing the location of and/or information tracked by an individual's eye or eyes before, during, or after the individual performs a task; identifying a temporal phase or a biomechanical phase of the task performed by the individual; identifying a visual cue in the identified temporal phase or biomechanical phase; and scoring the tracking of the individual's eye or eyes by comparing the data to the visual cue.

Abstract: Systems and methods are disclosed for evaluating human eye tracking. One method includes receiving data representing the location of and/or information tracked by an individual's eye or eyes before, during, or after the individual performs a task; identifying a temporal phase or a biomechanical phase of the task performed by the individual; identifying a visual cue in the identified temporal phase or biomechanical phase; and scoring the tracking of the individual's eye or eyes by comparing the data to the visual cue.

Abstract: Systems and methods are disclosed for evaluating human eye tracking. One method includes receiving data representing the location of and/or information tracked by an individual's eye or eyes before, during, or after the individual performs a task; identifying a temporal phase or a biomechanical phase of the task performed by the individual; identifying a visual cue in the identified temporal phase or biomechanical phase; and scoring the tracking of the individual's eye or eyes by comparing the data to the visual cue.