Emotion Recognition Pacification for Driving Safety
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Solution Overview
Problem
During driving, drivers and occupants may experience significant emotional changes such as anger, disgust, fear, or sadness, which can lead to unsafe actions if not managed, posing a safety hazard.
Innovation Solution
A method and system for emotion recognition that acquires user voice and image data, determines abnormal emotions, and provides personalized pacification strategies based on the user's emotion, seating position, gender, and age, using audio and video entertainment resources, and preferences, with a central controller and terminal devices for targeted emotional pacification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If emotion recognition and pacification systems are implemented, then safety hazards are reduced, but device complexity increases
Solution Approach 1:
The system divides the vehicle into multiple monitoring zones with terminal devices positioned at different locations (front, rear, left, right). Each terminal device independently captures voice and image data from its zone, and the central controller processes data from multiple terminals to comprehensively assess driver emotion state, thereby improving safety coverage without requiring each individual device to be overly complex
Solution Approach 2:
The terminal devices are designed with multi-functionality, serving as both voice acquisition devices (microphones) and image acquisition devices (cameras). The same hardware infrastructure supports multiple functions: emotion recognition, driver monitoring, and pacification content delivery, reducing overall system complexity while maintaining comprehensive safety monitoring
2Reliability
If personalized pacification strategies are provided based on multiple user attributes, then pacification effectiveness is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The system tailors pacification content to the specific emotion state detected (anger, fear, sadness, etc.) and the user's attributes (gender, age, seating position). Different emotion states receive different types of pacification content (e.g., calming music for anger, encouraging messages for fear), and the same emotion state may receive different content based on user demographics, thereby improving effectiveness without requiring a single complex processing system
Solution Approach 2:
The system continuously monitors the driver's emotion state through voice and image analysis, provides pacification content, and then re-evaluates the emotion state to assess effectiveness. This closed-loop feedback mechanism allows the system to adapt and refine pacification strategies based on real-time responses, improving overall effectiveness while distributing processing tasks across the monitoring and control cycles
Data Source
AI summary
A pacification method based on emotion recognition, includes: acquiring at least one of a voice and an image of a user; determining whether the user has abnormal emotion, according to the at least one of the voice and the image of a user; and in response to the user having abnormal emotion, determining a pacification manner according to the emotion of the user, and performing emotional pacification on the user. An apparatus, a device and a storage medium are also provided.