Adaptive Visual Perceptual Training Device Using Localized Stimulation
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Solution Overview
Problem
Conventional visual perceptual training methods for patients with visual field defects are ineffective in improving cognitive abilities due to a lack of personalized adaptation to the patient's vision ability changes, leading to reduced treatment efficacy.
Innovation Solution
A device and method that utilize a visual field map to identify regions of improved or deteriorated vision ability, adjusting the frequency of visual perceptual tasks to target specific areas by displaying visual objects more frequently in regions with significant changes, thereby enhancing visual perceptual learning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional repeated stimulus treatment is applied to peripheral visual field areas, then the treatment can be performed systematically, but visual perceptual learning is not achieved and treatment effect is lowered
Solution Approach 1:
The patent applies local quality by dividing the visual field into multiple regions and assigning different stimulation frequencies to each region based on individual vision ability levels. Specifically, regions with deteriorated vision ability receive higher stimulation frequencies, while regions with improved vision ability receive lower frequencies, creating a personalized treatment map that targets specific visual deficits rather than uniform stimulation across all areas.
Solution Approach 2:
The patent implements dynamics by continuously updating the visual field map based on real-time assessment of vision ability changes. The system dynamically adjusts stimulation frequencies across different regions as the patient's vision improves or deteriorates, transforming a static treatment protocol into an adaptive system that responds to individual progress and maintains optimal treatment effectiveness throughout the rehabilitation process.
2Ease of operation
If uniform visual stimulus frequency is applied across all visual field regions, then the treatment protocol is simple to implement, but it cannot adapt to individual vision ability changes and reduces cognitive ability improvement
Solution Approach 1:
The system divides the visual field into multiple regions and assigns different stimulation frequencies to each region based on individual vision ability levels. Regions with deteriorated vision ability receive higher stimulation frequencies, while regions with improved vision ability receive lower frequencies, creating a personalized treatment map that targets specific visual deficits rather than uniform stimulation across all areas.
Solution Approach 2:
The patent incorporates feedback mechanisms by continuously assessing vision ability in each visual field region and using this information to adjust stimulation frequencies. The system monitors patient responses and updates the visual field map accordingly, creating a closed-loop control system that adapts treatment parameters based on real-time performance data to maximize cognitive ability improvement.
3Reliability
If visual stimulus frequency is increased in regions with deteriorated vision ability, then visual perceptual learning is enhanced in those regions, but the overall treatment complexity increases
Solution Approach 1:
The patent segments the visual field into multiple discrete regions, each independently controllable with its own stimulation frequency. This segmentation allows the system to apply differentiated treatment protocols to specific visual deficits without affecting other regions, enabling targeted enhancement of visual perceptual learning in deteriorated areas while maintaining manageable system complexity through modular region-based control.
Data Source
AI summary
The present invention relates to a method for providing visual perception training using visual perception learning, the method comprising the steps of: obtaining a field-of-view map having a plurality of unit regions to which a vision index reflecting a user's vision ability is assigned; providing a first session using a visual perception task which is performed by displaying a first visual object for central fixation of the user's field of view and a second visual object in the vicinity of the first visual object, and requests the user's response related to at least the second visual object; determining a vision ability changed region among the plurality of unit regions on the basis of the user's response from the first session; and providing a second session using the visual perception task.