Pulse Wave Sleepiness Detection Aligned With Driver Consciousness
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Solution Overview
Problem
Existing methods for monitoring a driver's biological state during driving, such as analyzing time-series waveforms of breech pulse waves, struggle to accurately detect sleepiness and fatigue, often issuing alerts too early or incorrectly, and fail to synchronize with the driver's conscious state of sleepiness.
Innovation Solution
A biological body state analyzing device that utilizes a time-series waveform of aortic pulse waves detected from the dorsal region, analyzing frequency fluctuations and slope changes to determine sleep onset and fatigue states more accurately, synchronizing alerts with the driver's conscious state of sleepiness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If breech pulse wave analysis is used to detect sleep prediction, then sleep prediction can be captured, but the detection timing does not necessarily synchronize with the driver's conscious state of sleepiness
Solution Approach 1:
The patent changes the measurement parameter from breech pulse wave to aortic pulse wave detected from the dorsal region. This parameter change enables more accurate detection of sleepiness state that synchronizes with the driver's conscious state, resolving the contradiction between detection accuracy and synchronization with conscious state.
2Reliability
If alert systems are activated based on sleep prediction detection, then driver drowsiness can be prevented, but false alerts may be issued when detection timing does not match driver's actual sleepiness
Solution Approach 1:
The patent replaces the mechanical detection method (breech pulse wave analysis) with a more advanced detection method (aortic pulse wave analysis from dorsal region). This substitution improves the reliability of alert activation by accurately detecting the driver's actual sleepiness state, thereby reducing false alerts while maintaining alert system effectiveness.
3Measurement precision
If aortic pulse wave detection from dorsal region is implemented, then state changes can be captured closer to driver's consciousness, but device complexity increases
Solution Approach 1:
The patent extracts the detection focus from the breech region to the dorsal region, specifically targeting the aortic pulse wave. This extraction approach simplifies the detection system by concentrating on a specific physiological signal source that provides more accurate state change detection, thereby improving measurement precision without excessive increase in device complexity.
Data Source
AI summary
A state change of a person is captured with timing closer to consciousness of the person. A frequency slope waveform of a time series signal of a pulse wave of a body of a person detected by an air pack is obtained by a frequency slope time-series analyzing and a computing device and a frequency fluctuation time-series waveform is obtained by a frequency fluctuation time-series analyzing and computing device. By comparing changes of two waveforms with each other in a waveform determining device, a state change of a person can be captured with timing closer to consciousness of the person.