Multisensory Index System for Driver Emotional Care
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Solution Overview
Problem
Current healthcare systems for vehicles lack an effective method to analyze and respond to the correlation between auditory and tactile stimulations to provide personalized emotional care for drivers, which is essential for enhancing their emotional state during driving.
Innovation Solution
A multisensory index system that derives quantitative and qualitative parameters for both auditory and tactile senses, using zero crossing rate (ZCR) and Mel-frequency cepstral coefficient (MFCC) for recognition, and generates a multisensory index divided into five stages to provide tailored emotional care solutions through sound and vibration adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a healthcare system collects biometric information and recognizes facial expressions to determine driver state, then the driver's emotional state can be identified, but the system lacks the capability to analyze and respond to the correlation between auditory and tactile stimulations for personalized emotional care
Solution Approach 1:
The patent segments the emotional care system into distinct functional modules: an auditory parameter extraction unit that processes sound signals, a tactile parameter extraction unit that processes vibration signals, and a correlation analysis unit that integrates both parameters. This segmentation allows the system to handle complex multisensory analysis through manageable, specialized components, resolving the contradiction between enhanced adaptability and system complexity.
2Measurement precision
If the system generates a multisensory index by analyzing correlation between auditory and tactile parameters, then personalized emotional care can be provided, but the processing complexity and computational requirements increase
Solution Approach 1:
The patent applies preliminary action by extracting and preprocessing auditory parameters (such as zero-crossing rate, spectral centroid, spectral bandwidth) and tactile parameters (such as vibration frequency, acceleration) separately before correlation analysis. This preliminary processing organizes the raw sensor data into meaningful features, reducing the computational burden of the subsequent correlation analysis and enabling precise emotional state measurement without overwhelming processing complexity.
3Ease of operation
If the system provides emotional care solutions based on multisensory index, then driver comfort and emotional state improve, but the system requires integration of multiple sensing modalities increasing overall system complexity
Solution Approach 1:
The patent implements universality by designing a integrated processor that performs multiple functions: extracting auditory parameters from audio signals, extracting tactile parameters from vibration sensors, analyzing the correlation between these parameters, and generating emotional care control signals. This multi-functional approach consolidates what would otherwise require separate specialized systems, improving driver comfort through comprehensive emotional care while managing overall system complexity through functional integration.
Data Source
AI summary
A multisensory index system and an operation method thereof are provided. The multisensory index system is configured to derive quantitative parameters and qualitative parameters associated with an auditory sense and a tactile sense, and generate a multisensory index by analyzing a correlation between the quantitative parameters and the qualitative parameters associated with the auditory sense and the tactile sense.