Waveform Estimating Device for Real-Time Driver Arousal Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing waveform estimation technologies for detecting driver arousal and swaying behavior during driving require extensive data accumulation and processing time, making real-time detection of dangerous unsteadiness challenging.
Innovation Solution
A waveform estimating method that separates driving trajectory waveforms into short, medium, and long cycles, estimating vibration components up to a half wavelength of each cycle, allowing for real-time evaluation and detection of overall swaying and abrupt steering, thereby reducing the time to detect dangerous unsteadiness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If waveform signal processing is performed using conventional methods to estimate driver arousal with high accuracy, then measurement precision is improved, but loss of time increases due to requiring accumulation of displacement amount data for 50 to 80 seconds
Solution Approach 1:
The patent segments the driving trajectory waveform into multiple frequency components (first vibration component below first frequency, second vibration component at or above first frequency) and processes each segment separately. This allows the system to estimate driver arousal by analyzing specific frequency characteristics without requiring long-term data accumulation, thereby reducing processing time while maintaining estimation accuracy.
Solution Approach 2:
The patent extracts specific vibration components from the driving trajectory waveform by filtering out frequency ranges of interest. By focusing on particular frequency components (separating low-frequency swaying from higher-frequency steering inputs), the system can identify arousal-related patterns without processing the entire waveform spectrum, thus reducing the time needed for accurate estimation.
2Measurement precision
If displacement amount data is accumulated for a long time to improve arousal estimation accuracy, then measurement precision is improved, but productivity decreases due to delayed detection of dangerous unsteadiness
Solution Approach 1:
The patent divides the driving trajectory into frequency segments and processes each segment independently to extract arousal-related characteristics. This segmentation enables the system to achieve accurate arousal estimation using shorter data windows, improving detection speed without sacrificing measurement precision.
Solution Approach 2:
The patent introduces frequency-based vibration components as intermediaries between the raw driving trajectory data and the arousal estimation. By using these intermediate frequency components (first and second vibration components) that specifically represent different aspects of driving behavior, the system can quickly identify arousal changes without requiring long-term data accumulation.
3Measurement precision
If conventional waveform processing methods are used to classify high-frequency and low-frequency components, then measurement precision is improved, but device complexity increases due to extended data accumulation requirements
Solution Approach 1:
The patent segments the waveform processing into distinct frequency-based vibration component extractions (first vibration component for low-frequency analysis, second vibration component for high-frequency analysis). This segmentation simplifies the overall processing architecture by allowing independent analysis of different frequency ranges, reducing the need for complex long-term data accumulation systems while maintaining classification accuracy.
Data Source
AI summary
A waveform estimating method performed by a computer, the waveform estimating method including: estimating a first vibration component of less than a first frequency in a period from a present time to a time preceding by a half wavelength of the first frequency, using an input waveform in the period, the input waveform corresponding to a driving trajectory of a vehicle traveling on a roadway; and calculating a second vibration component of the first frequency or higher in the period by subtracting the first vibration component from the input waveform.