Vehicle Emotion Recognition Service Provision via Temporal Pattern Analysis
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Solution Overview
Problem
Conventional emotion-recognition-based services for vehicles only consider the type of emotion and fail to provide services effectively when emotions are transient or neutral, leading to low service demand due to rapid changes in driver emotions during travel.
Innovation Solution
A method and apparatus that monitor and differentiate between transient, sequential, and repetitive emotions by comparing current and previous emotions and driving situations, determining the form of emotion to provide targeted services only when necessary, using an emotion recognizer, driving situation determiner, and emotion form determiner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If service is provided whenever an emotion is detected, then service responsiveness is improved, but service effectiveness deteriorates when emotions are transient or already restored to neutral
Solution Approach 1:
The system performs preliminary classification of emotion forms (transient, sequential, repetitive) before providing service. By analyzing the temporal pattern and duration of emotions in advance, the system determines whether service provision is appropriate, avoiding unnecessary services for transient emotions while ensuring timely services for significant emotional states.
Solution Approach 2:
The system dynamically adjusts service provision strategy based on the detected emotion form. For transient emotions, the system delays or cancels service provision, while for sequential or repetitive emotions, it provides service. This dynamic adaptation allows the system to balance responsiveness with effectiveness based on real-time emotion analysis.
2Adaptability or versatility
If service is provided for every detected emotion, then service coverage is improved, but user inconvenience increases due to unnecessary services during transient emotions
Solution Approach 1:
The system applies partial action by providing service only for certain emotion forms (sequential and repetitive) while omitting service for transient emotions. This selective approach ensures comprehensive coverage for meaningful emotional states while avoiding unnecessary interventions for temporary emotional fluctuations, thereby maintaining user convenience.
Solution Approach 2:
The emotion form classification mechanism acts as an intermediary between emotion detection and service provision. This intermediate analysis layer filters out transient emotions that would lead to inconvenient services, while allowing through significant emotional states that warrant service intervention, thus resolving the conflict between coverage and convenience.
3Device complexity
If only emotion type is considered for service provision, then system complexity is reduced, but service accuracy deteriorates due to inability to distinguish transient from significant emotions
Solution Approach 1:
The system segments emotion analysis into two distinct components: emotion type classification and emotion form classification. This segmentation allows the system to maintain relatively simple emotion recognition while adding temporal pattern analysis to distinguish transient from significant emotions, thereby improving service accuracy without excessive complexity increase.
Solution Approach 2:
The system adds a temporal dimension to emotion analysis by classifying emotions as transient, sequential, or repetitive based on their duration and recurrence patterns. This additional temporal dimension enables the system to accurately distinguish between fleeting emotional reactions and significant emotional states requiring service intervention, enhancing service accuracy with minimal complexity addition.
Data Source
AI summary
A method of providing an emotion-recognition-based service for a vehicle includes monitoring an occupant and a driving situation, when recognizing an emotion of the occupant during the monitoring, comparing at least one of a first emotion as a type of a currently generated emotion or a first driving situation as a driving situation corresponding to a first time which is as a time at which the emotion is recognized, with at least one of a second emotion as a type of an emotion that is previously recognized compared with the emotion or a second driving situation as a driving situation corresponding to a second time which is as a time at which the previously generated emotion is recognized, and based on a result of the comparing, determining the currently generated emotion as one of a transient emotion, a sequential emotion, and a repetitive emotion.