Adaptive Vehicle Sound Control Using Driver Emotion and Road Context
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Solution Overview
Problem
Existing vehicle systems lack the ability to recognize a driver's emotional state and provide personalized, emotionally engaging sounds based on their emotional state, driving patterns, and road conditions, which can enhance driving experience and reduce stress.
Innovation Solution
An apparatus and method that utilizes an electronic device to analyze music information, detect driving patterns and road conditions, calculate a music emotional quotient (EQ) index, and generate emotional sounds using granular synthesis and formant filters, tailored to the driver's emotional state and preferences, while considering passengers and environmental factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If vehicle sound systems use fixed sound types, then system complexity is reduced, but adaptability to driver emotional state and driving conditions deteriorates
Solution Approach 1:
The sound system dynamically adjusts sound types and parameters based on real-time detection of driver emotional state, driving patterns, and road conditions. The controller continuously modifies audio output to match current driving context, transforming a static system into an adaptive one that responds to changing conditions without requiring complex manual intervention.
Solution Approach 2:
The system implements feedback loops where sensors detect driver state and environmental conditions, the controller processes this information to determine appropriate emotional sound types, and the audio system delivers customized sound output. This closed-loop feedback mechanism enables automatic adaptation to driver needs while maintaining manageable system complexity through automated decision-making.
2Measurement precision
If the system collects multiple types of driving information, then recognition accuracy of driver emotional state is improved, but information processing complexity increases
Solution Approach 1:
The information processing system is segmented into distinct functional modules: sensors for collecting driving information, a controller for analyzing and processing the data, and an audio system for output. This segmentation allows multiple types of information (driving patterns, road conditions, emotional state indicators) to be processed independently and integrated systematically, improving recognition accuracy while managing complexity through modular architecture.
Solution Approach 2:
The controller serves multiple functions: it processes driving pattern data, analyzes road condition information, detects driver emotional state, and determines appropriate sound type selections. This multi-functionality consolidates information processing tasks into a single central unit, improving recognition accuracy through comprehensive data analysis while avoiding the complexity of multiple separate processing systems.
Data Source
AI summary
An apparatus for providing a vehicle sound includes a communicator configured to communicates with an electronic device, a detector configured to detect driver's driving pattern information and road driving condition information of a vehicle, and a controller coupled to the communicator and the detector. The controller is configured to obtain music information from the electronic device and calculate a music emotional quotient (EQ) index based on the music information, the driver's driving pattern information, and the road driving condition information. The controller is also configured to select a game sound type based on the music EQ index, and provide an emotional sound matched with the game sound type.