Visual Perceptual Training with Sequential Rule-Based Stimuli
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Solution Overview
Problem
Current technologies for visual perceptual training to improve cognitive ability in dementia patients are insufficient, lacking effective methods to stimulate the hippocampus and enhance cognitive functions.
Innovation Solution
A device and method for visual perceptual training that incorporates a cognitive load, using a training session with visual objects displayed sequentially, requiring specific responses based on attributes and display order, and providing feedback, with a background image for navigation to enhance cognitive ability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If visual perceptual training is provided to improve cognitive ability, then cognitive functions are enhanced, but the technology development remains insignificant
Solution Approach 1:
The training device dynamically adjusts training parameters including display duration, inter-stimulus interval, and task difficulty based on real-time trainee performance. The system transitions from static fixed-protocol training to adaptive dynamic training that optimizes cognitive stimulation effectiveness while maintaining engagement.
Solution Approach 2:
The system implements multiple configurable parameters including display duration (50-200ms), inter-stimulus interval (200-1000ms), number of trials (20-100), and stimulus complexity levels. These parameter variations enable systematic exploration of optimal training conditions for different cognitive functions and patient populations.
2Reliability
If complex cognitive tasks are imposed on trainees, then cognitive load increases for better training effect, but task complexity makes the system harder to operate
Solution Approach 1:
The cognitive training protocol is segmented into distinct task types (identification tasks requiring attribute judgment, cognitive tasks requiring working memory, and navigation tasks requiring spatial processing). Each segment can be independently configured and administered, allowing complex overall training to be broken into manageable components with clear instructions.
Solution Approach 2:
The system provides immediate feedback on trainee responses including correctness indicators and performance metrics. This feedback mechanism guides trainees through complex tasks by confirming understanding and adjusting difficulty accordingly, reducing the perceived complexity while maintaining cognitive challenge.
3Reliability
If visual objects are displayed sequentially with multiple conditions, then cognitive stimulation is enhanced, but the training protocol becomes more complex
Solution Approach 1:
The visual stimulus system uses a universal set of geometric shapes (circles, squares, triangles) with variable attributes (color, size, orientation) that can be configured for multiple task types. This multi-functional stimulus library simplifies protocol design by using the same basic elements across identification, cognitive, and navigation tasks rather than requiring separate stimulus sets.
Solution Approach 2:
The training protocol implements periodic stimulus presentation with structured sequences of visual objects displayed at controlled intervals. This periodic structure with varying parameters (duration, interval, sequence length) provides systematic hippocampal stimulation while maintaining protocol organization through repetitive patterns with controlled variations.
Data Source
AI summary
Disclosed is a device for providing visual perceptual training including an output module and a controller that controls the output module such that the output module outputs an instruction message informing a trainee of a rule related to visual perceptual training, provides a training session for the visual perceptual training, and stores a result in the training session for evaluating cognitive ability of the trainee, wherein the controller may, in the training session, control the output module such that the output module sequentially displays visual objects, check a type of a response of the trainee, determine whether the checked response is correct according to the rule including the first condition and the second condition based on the attribute of the visual object, the display order of the visual object, and the type of the checked response, and output a feedback indicating that the checked response is correct.