Emotion-Aware Driving Support for Excessive Driver Emotions
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Solution Overview
Problem
Existing driving support technologies fail to provide appropriate support based on the emotional state of the driver, leading to unsafe driving conditions when emotions are excessive.
Innovation Solution
A driving support device that determines the driver's emotion using various sensors, calculates permissible ranges, and executes tailored driving support and notifications to maintain safe driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If driving support is provided without considering driver emotion, then the support system is simple to implement, but driving safety deteriorates when driver emotions are excessive
Solution Approach 1:
The patent replaces traditional mechanical or rule-based driving support systems with an emotion-aware intelligent system that uses machine learning models and multiple sensors to detect and respond to driver emotional states. This substitution enables the system to adaptively adjust support levels based on real-time emotional detection, thereby improving driving safety without requiring overly complex manual intervention mechanisms.
Solution Approach 2:
The system dynamically changes the parameters of driving support based on detected driver emotions. When emotions are detected as excessive, the system adjusts support parameters such as notification frequency, steering assistance level, or braking intervention thresholds. This parameter adaptation allows the system to maintain safety while avoiding unnecessary complexity in constant high-level support modes.
2Reliability
If emotion detection is implemented to provide tailored driving support, then driving safety improves, but the device complexity increases due to multiple sensors and processing requirements
Solution Approach 1:
The patent implements a multi-functional emotion detection system where a single integrated processing unit handles multiple sensor inputs (cameras, microphones, sensors) and performs various functions including emotion recognition, attention monitoring, and support level determination. This universal approach consolidates what could be separate complex systems into one coordinated unit, improving safety while managing overall device complexity through functional integration.
Solution Approach 2:
The system segments the emotion detection and response process into distinct modular components: detection modules for different emotional indicators, processing modules for analyzing specific emotion types, and execution modules for providing targeted support. This segmentation allows each component to be optimized independently and simplifies the overall system architecture by breaking down the complex task of emotion-based driving support into manageable, specialized units.
3Reliability
If continuous emotion monitoring is performed, then driving safety is continuously improved, but energy consumption increases
Solution Approach 1:
The patent implements periodic emotion monitoring rather than truly continuous monitoring. The system performs emotion detection at regular intervals or triggered by specific events (such as unusual driving patterns or environmental changes). This periodic approach maintains adequate driving safety monitoring while significantly reducing energy consumption compared to constant real-time analysis of all sensor inputs.
Solution Approach 2:
The emotion monitoring system incorporates self-adjusting capabilities where the monitoring intensity and frequency are automatically adjusted based on detected driving conditions and driver states. When the driver appears calm and focused, monitoring intensity is reduced to conserve energy. When emotional instability is detected, the system automatically increases monitoring frequency and support levels, maintaining safety while optimizing energy usage through self-service adaptation.
Data Source
AI summary
A driving support device includes at least one processor and a storage medium. A program configured to be executed by the at least one processor is stored in the storage medium. The program includes at least one command. The at least one command is configured to cause the at least one processor to execute an emotion determination process, a support determination process, a support type determination process, and a support execution control process. The emotion determination process involves determining an emotion of a driver based on acquired detection information. The support determination process involves determining whether the driver is in a state where driving support is desirable. The support type determination process involves determining a type of the driving support in accordance with the determined emotion when the driving support is desirable. The support execution control process involves executing the determined type of the driving support.


