Method, system and apparatus for diagnostic assessment and screening of binocular dysfunctions
AssigneeNew Jersey Institute of Technology
InventorsTara Lynn Alvarez, Chang Yaramothu, John Vito d'Antonio-Bertagnolli, Mitchell Scheiman
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Abstract
Exemplary embodiments relate to systems, methods, and apparatus to objectively assess binocular dysfunction for screening, diagnoses, and evaluation of vision/oculomotor function before, during, and after various forms of therapeutic interventions. Systems and methods diagnose and assess binocular dysfunction objectively and automatically, can render a visual stimulus on one or more displays, and can control accommodative and proximal vergence stimulation of a user's eyes.
Claims24
A system for performing an assessment of oculomotor function of a user, the system comprising:
- a head mounted display configured to generate a stereoscopic effect viewable by the user;
- a computing system in communication with the head mounted display, the computing system comprising:
- a memory storing computer readable instructions;
- and
- a processing device for executing the computer readable instructions, the computer readable instructions controlling the processing device to perform operations comprising:
- rendering visual stimulus with the head mounted display;
- adjusting the visual stimulus to elicit a response from a visual system of the user;
- objectively measuring at least a subset of a plurality of oculomotor characteristics of the user based on the response;
- based on the objective measurement of the at least the subset of the plurality of oculomotor characteristics of the user, dynamically adjusting the rendering of the visual stimulus to a non-linear program sequence, using a trained machine learning model, to reduce at least one of a duration of an oculomotor function assessment and resources required to complete the oculomotor function assessment;
- and
- generating the oculomotor function assessment by combining the at least the subset of the plurality of oculomotor characteristics;
- wherein the dynamic adjustment of the rendering of the visual stimulus using the trained machine learning model does not reduce the sensitivity of the oculomotor function assessment despite the reduced assessment duration and/or the resources required to complete the oculomotor function assessment.
A method for performing an assessment of oculomotor function of a user, the method comprising:
- rendering visual stimulus with a head mounted display using a stereoscopic effect;
- adjusting, by a computing system, the visual stimulus to elicit a response from a visual system of the user wearing the head mounted display;
- objectively measuring at least a subset of a plurality of oculomotor characteristics of the user based at least on the response;
- based on the objective measurement of the at least the subset of the plurality of oculomotor characteristics of the user, dynamically adjusting the rendering of the visual stimulus to a non-linear program sequence, using a trained machine learning model, to reduce at least one of a duration of an oculomotor function assessment and resources required to complete the oculomotor function assessment;
- and
- generating the oculomotor function assessment by combining the at least the subset of the plurality of oculomotor characteristics;
- wherein the dynamic adjustment of the rendering of the visual stimulus using the trained machine learning model does not reduce the sensitivity of the oculomotor function assessment despite the reduced assessment duration and/or the resources required to complete the oculomotor function assessment.
A non-transitory computer-readable medium storing instructions that when executed by a processing device causes the processing device to implement a method for performing an assessment of oculomotor function of a user, the method comprising:
- rendering visual stimulus with a head mounted display using a stereoscopic effect;
- adjusting the visual stimulus to elicit a response from a visual system of the user wearing the head mounted display;
- objectively measuring at least a subset of a plurality of oculomotor characteristics of the user based at least on the response;
- based on the objective measurement of the at least the subset of the plurality of oculomotor characteristics of the user, dynamically adjusting the rendering of the visual stimulus to a non-linear program sequence, using a trained machine learning model, to reduce at least one of a duration of an oculomotor function assessment and resources required to complete the oculomotor function assessment;
- and
- generating the oculomotor function assessment by combining the at least the subset of the plurality of oculomotor characteristics;
- wherein the dynamic adjustment of the rendering of the visual stimulus using the trained machine learning model does not reduce the sensitivity of the oculomotor function assessment despite the reduced assessment duration and/or the resources required to complete the oculomotor function assessment.
Dependencies are inferred from the claim text.