Biological State Estimation Device for Driver Fatigue Visualization
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Solution Overview
Problem
Existing methods for monitoring a driver's biological state during driving, such as sleep prediction and fatigue detection, are difficult for general drivers to interpret and require additional alarms for notification, and they primarily focus on metabolic changes without considering mental fatigue or brain function activation.
Innovation Solution
A biological body state estimation device that uses a biological signal from the upper body to analyze homeostatic function levels, displaying them in a graphical format to easily visualize fatigue progression and capture brain function activation, incorporating features like frequency analysis and absolute value processing to determine stages of alertness and fatigue.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex analysis methods (smoothing differentiation, least-square method, Chaos analysis) are used to accurately detect sleep prediction and fatigue, then measurement precision is improved, but ease of operation deteriorates because general drivers cannot interpret the waveforms
Solution Approach 1:
The patent introduces an intermediary processing system that translates complex physiological waveform analysis into simple visual indicators. The system processes pulse wave data through multiple analysis methods and presents results as intuitive graphical representations showing sleep prediction risk levels, bridging the gap between complex measurement and simple interpretation for drivers
Solution Approach 2:
The patent replaces manual waveform interpretation with automated computational analysis. Instead of requiring drivers to visually analyze complex time-series waveforms and calculate slopes manually, the system uses computer-based processing to automatically detect sleep prediction phenomena and present results in an easily interpretable format
2Reliability
If additional alarm devices are added to notify drivers of fatigue, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent makes the display device multi-functional by integrating both information presentation and alarm notification functions into a single system. The display can show detailed waveform information for monitoring while simultaneously providing alarm notifications when sleep prediction risk exceeds thresholds, eliminating the need for separate alarm devices
Solution Approach 2:
The patent combines multiple notification methods (visual display information and alarm signals) into a unified notification system. The display device integrates both the presentation of physiological data and the delivery of alert signals, merging functions that could otherwise require separate devices
3Measurement precision
If focus is placed on metabolic changes (breech pulse waves), then measurement precision for physical fatigue is improved, but adaptability deteriorates because mental fatigue and brain function activation are not captured
Solution Approach 1:
The patent enhances the versatility of the monitoring system by making it capable of detecting multiple types of fatigue simultaneously. The system processes physiological signals to identify both physical fatigue through metabolic changes and mental fatigue through brain function indicators, providing comprehensive fatigue monitoring in a single integrated system
Data Source
AI summary
A biological body state estimation device configured such that a homeostatic function level is sorted and acquired in plural stages by using a biological signal obtained from an upper body of a person and each stage of the homeostatic function level is plotted in time series in accordance with a time axis indicated on the lateral axis and displayed as a graph by a display. A highest part on the vertical axis of the graph can be displayed as a highly active state and a lowest part as a function decline state. Therefore, a state of fluctuation due to autonomous nerves as an attempt to maintain homeostasis, progress of a feeling of fatigue, and a state stimulated by activation of the brain can be captured as a periodic function. Moreover, a sleep prediction phenomenon can be captured.


