Vision testing via prediction-based setting of initial stimuli characteristics for user interface locations
Abstract:
Methods and systems for dynamically determining stimuli characteristics for vision defect determination during a vision test. The methods and systems convert the feedback received from the binary suprathreshold test into a feature input that is provided to a prediction model. The prediction model may be trained to predict non-binary characteristics for sets of locations and confidence scores associated with the sets of locations based on feedback indicating binary characteristics under which users see one or more stimuli presented on user interfaces.
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