Vehicle Audio System with Passenger Emotion Recognition
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Solution Overview
Problem
Current vehicle technologies primarily focus on recognizing and responding to the driver's emotional state, neglecting the emotional state of passengers and not adjusting sound output accordingly.
Innovation Solution
A vehicle system equipped with a camera and sensors to capture passenger images and bio-signals, a controller to identify passengers, detect emotional information, and adjust the size and direction of sound output from speakers based on this information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the vehicle system focuses on driver emotion recognition only, then driver convenience is improved, but passenger comfort is neglected
Solution Approach 1:
The system segments the passenger monitoring function from driver monitoring, using separate cameras and processing channels for each. This allows independent optimization of driver convenience features while simultaneously providing passenger comfort considerations without interference between the two functions.
Solution Approach 2:
The emotion recognition system is designed with multi-functionality to serve both driver and passenger monitoring needs. The same technical framework and processing algorithms are applied to both users, enabling the system to provide personalized audio experiences for multiple occupants simultaneously.
2Device complexity
If uniform sound output is used for all passengers, then system simplicity is maintained, but personalized audio experience is lost
Solution Approach 1:
The system applies local quality by directing different audio content and characteristics to different spatial zones where passengers are located. Based on detected passenger emotions and positions, the controller adjusts sound parameters specifically for each passenger's zone, providing personalized audio experiences while using a single speaker system.
Solution Approach 2:
The sound output system transitions from static uniform output to dynamic adaptive output. The controller continuously adjusts audio characteristics based on real-time emotion recognition results and passenger position changes, enabling the system to provide personalized experiences without requiring multiple physical speakers.
3Measurement precision
If multiple cameras and sensors are added for passenger monitoring, then emotion recognition accuracy is improved, but system complexity increases
Solution Approach 1:
The system merges multiple monitoring functions into a unified processing framework. Cameras for emotion recognition, position detection, and audio output control are integrated and coordinated through a single controller that processes all inputs and generates coordinated outputs, reducing overall system complexity despite multiple components.
Solution Approach 2:
The camera system is designed with multi-functionality to perform multiple tasks simultaneously: emotion recognition, position detection, and attention monitoring. This universal approach allows accurate passenger monitoring while avoiding the need for separate specialized sensors for each function, thereby controlling system complexity.
Data Source
AI summary
A vehicle includes at least one speaker, a camera configured to obtain a passenger's image, and a controller. The controller is configured to identify the passenger, to search for the identified passenger and emotion tag information related to a sound source output through the at least one speaker, and to control the at least one speaker or obtain passenger's emotional information according to the search result.