Inter-Vehicle Emotion Notification Control Apparatus
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Solution Overview
Problem
Existing vehicle information-output systems fail to effectively notify occupants of appropriate information based on the emotions of occupants in other vehicles, leading to potential misunderstandings or unsafe driving situations.
Innovation Solution
A control apparatus that estimates the emotion of an occupant in a vehicle using image, voice, or biological data, and shares this information with other vehicles to determine if and how to notify the driver of another vehicle about the emotional state of nearby occupants, thereby enabling proactive adjustments in driving behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If emotion information is shared between vehicles to enable notification, then driving safety is improved, but device complexity increases due to multiple sensors and communication systems
Solution Approach 1:
The system divides the complex emotion recognition task into separate modules: image acquisition unit, voice acquisition unit, biological information acquisition unit, and emotion estimation unit. Each module handles a specific sensing function, allowing the system to manage complexity through functional segmentation while maintaining comprehensive emotion detection capabilities
Solution Approach 2:
The patent introduces a communication unit that acts as an intermediary to share emotion information between vehicles. This mediator enables safety improvements through inter-vehicle communication without requiring direct complex interaction between all system components, reducing overall system complexity
2Measurement precision
If multiple types of data (image, voice, biological) are used for emotion estimation, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system separates data acquisition into distinct units: image acquisition unit with cameras, voice acquisition unit with microphones, and biological information acquisition unit with sensors. This segmentation allows each sensor type to be optimized independently while collectively achieving high measurement precision through multi-modal emotion estimation
Solution Approach 2:
The emotion estimation unit serves as a universal processor that handles multiple types of input data (image, voice, biological information) through a single integrated algorithm. This multi-functional approach enables precise emotion detection across different data modalities without requiring separate processing systems for each sensor type
Data Source
AI summary
A control apparatus is provided, including: an other-vehicle emotion acquiring unit configured to acquire an other-vehicle emotion indicating an emotion of an occupant of a second vehicle different from a first vehicle; a determination unit configured to determine whether to perform notification to an occupant of the first vehicle based on the other-vehicle emotion; and a notification control unit configured to perform control to notify the occupant of the first vehicle of notification information based on the other-vehicle emotion when the determination unit determines to perform the notification.