Vehicle Emotion Estimation Switching Data Sources
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Solution Overview
Problem
Image-based emotion estimation processes in vehicles experience reduced accuracy due to factors like intense sunlight, which affects the accuracy and processing time, leading to incomplete or inaccurate emotion assessments.
Innovation Solution
The information processing apparatus adapts by using alternative methods for emotion estimation when the vehicle is in a lower accuracy area, such as using voice and biological information instead of images, and employing a server to collect and share data on sunlight exposure areas to adjust processing strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image-based emotion estimation process is used in vehicles, then emotion assessment capability is provided, but estimation accuracy lowers in areas with intense sunlight
Solution Approach 1:
The system changes the parameter of data type used for emotion estimation based on environmental conditions. When intense sunlight is detected (harmful condition), the system switches from using image data to using voice data and biological information data, thereby maintaining estimation accuracy despite the harmful environmental factor
Solution Approach 2:
The system introduces alternative data sources (voice data and biological information data) as intermediaries to perform emotion estimation when image data becomes unreliable due to intense sunlight. These alternative data sources serve as mediators that can provide accurate emotion assessment under conditions where traditional image-based methods fail
2Reliability
If image-based emotion estimation process is used in vehicles, then emotion assessment capability is provided, but processing time increases in lower accuracy areas
Solution Approach 1:
The system dynamically adjusts the emotion estimation process based on environmental conditions. When the vehicle enters a lower accuracy area (intense sunlight), the system automatically switches from image-based processing to alternative data processing, making the system flexible and adaptive to maintain both reliability and efficiency
Solution Approach 2:
The system extracts and removes the problematic image data processing from the emotion estimation pipeline when operating in lower accuracy areas. By excluding image data from the estimation process under harmful conditions, the system avoids wasting processing time on unreliable data while maintaining assessment reliability through alternative data sources
3Measurement precision
If alternative methods are used when in lower accuracy areas, then estimation accuracy is maintained, but system complexity increases
Solution Approach 1:
The system implements multi-functionality by enabling the emotion estimation apparatus to process multiple types of data (image data, voice data, biological information data) and select the appropriate data type based on environmental conditions. This universal approach allows a single system to maintain high accuracy across diverse conditions without requiring separate dedicated systems for each data type
Solution Approach 2:
The system performs self-service by automatically detecting when it is operating in a lower accuracy area and autonomously switching to alternative data sources without external intervention. The system monitors its own operational conditions and adjusts its processing strategy accordingly, reducing the need for complex external control mechanisms
Data Source
AI summary
An information processing apparatus, comprising a determination unit configured to determine whether a vehicle is located inside a lower accuracy area, in which an estimation accuracy of the emotion estimation process lowers, wherein the emotion estimation process is a process for estimating an emotion of an occupant based on an image of the occupant of the vehicle captured by an image-capturing unit provided in the vehicle, and an emotion estimating unit configured to estimate the emotion of an occupant by performing different emotion estimation processes depending on whether the vehicle is located inside the lower accuracy area or not is provided.