Methods for optimizing learning
The system addresses the limitations of existing eye systems by using video cameras and computing devices to analyze eye signals for deception detection, motion risk assessment, and learning optimization, achieving improved accuracy and effectiveness.
JP7866019B2Active Publication Date: 2026-05-26センスアイ·インコーポレーテッド
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Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- センスアイ·インコーポレーテッド
- Filing Date
- 2024-10-10
- Publication Date
- 2026-05-26
AI Technical Summary
Technical Problem
Existing eye systems lack the capability to effectively perform deception detection, assess motion risk, and optimize learning through iris muscle deformation analysis.
Method used
A system utilizing a standoff device with video cameras and computing devices to analyze eye signals, including cognitive and emotional state models, to detect deception and assess motion risk, and optimize learning by inferring stroma deformation through transillumination of the iris muscle.
Benefits of technology
The system provides accurate deception detection, job suitability assessment, and optimized learning by analyzing eye movements and physiological changes, enhancing reliability and efficiency in various settings.
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Abstract
To provide a method of deception detection based on ocular information.SOLUTION: The method of deception detection, motion risk assessment, or learning optimization is based on subject's ocular information obtained by providing a video camera configured to record a close-up view of a subject's eye. The ocular information is processed to identify changes in subject's eye signals through use of a convolutional neural network. The changes in the ocular signals are evaluated from the convolutional neural network by a machine learning algorithm. The results can then be presented in terms of a level of a deception, a level of operational risk, or an optimization system to optimize learning. The method is facilitated by identifying at least one predicted distortion identified in a stroma that can be captured using only a visible spectrum camera that is correlated to predicted responses in an iris muscle tissue.SELECTED DRAWING: Figure 1
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