A smart disaster relief support system that dynamically adjusts instructions based on psychological state.
The system addresses the limitations of existing disaster response systems by integrating remote sensing and AI-driven processing to provide adaptive AR guidance, improving decision-making and reducing cognitive overload in high-stress scenarios.
TWM685865UActive Publication Date: 2026-08-01魏泽民 +1
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Patent Information
- Application Number
- TW115201618
- Authority / Receiving Office
- TW · TW
- Patent Type
- Utility models
- Current Assignee / Owner
- Filing Date
- 2026-02-13
- Publication Date
- 2026-08-01
- Estimated Expiration
- 2036-02-12
AI Technical Summary
Technical Problem
Existing disaster response systems fail to accurately differentiate between physiological and psychological states, lack automated decision-making based on psychological data, and do not adapt AR displays to user stress levels, leading to misjudgments, delayed responses, and cognitive overload.
Method used
A smart disaster relief assistance system integrating remote psychological sensing, AI-driven processing, and adaptive AR display to convert psychological data into actionable instructions, dynamically adjusting display parameters based on psychological state.
Benefits of technology
Enables precise psychological state assessment, automated decision-making, and adaptive AR guidance, reducing errors and enhancing response efficiency in high-stress environments.
✦ Generated by Eureka AI based on patent content.
Abstract
This invention relates to a smart disaster relief assistance system that dynamically adjusts instructions based on psychological state, addressing the problem of cognitive overload caused by panic among personnel at disaster sites. The system comprises: at least one long-range psychological sensing device, at least one processing unit, and at least one multi-channel instruction output device. The sensing device captures multimodal physiological and behavioral signals from personnel; the processing unit, through an AI-powered psychological response interpretation and risk assessment module, quantifies these physiological and behavioral signals into psychological risk levels and converts them into instruction control parameters; upon receiving these parameters, the multi-channel instruction output device physically and dynamically adjusts the information density and color contrast of the displayed image to reduce cognitive load.
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