Sentiment-Aware Vehicle Navigation for Occupant Condition Routing
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Solution Overview
Problem
Current vehicle navigation systems do not effectively account for the emotional and physical conditions of vehicle occupants, such as driver fatigue or passenger preferences, which can impact route selection and safety.
Innovation Solution
A sentiment-based navigation system that extracts features from sensor data to determine the emotional and physical condition of occupants, integrating this information with traditional navigation factors like traffic and road conditions to generate optimized routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional navigation systems only consider traffic and road conditions, then route calculation is simple and fast, but user satisfaction and safety are reduced due to ignoring occupant conditions
Solution Approach 1:
The patent combines traditional navigation route calculation with sentiment analysis of sensor data about vehicle occupants. The navigation system merges traffic/road condition data with occupant emotional and physical condition data to generate routes that optimize both traditional navigation criteria and occupant well-being, thereby improving safety without completely redesigning the navigation architecture
Solution Approach 2:
The system introduces sentiment analysis as an intermediary layer between raw sensor data and navigation route selection. The sentiment analysis module processes sensor data to determine emotional and physical conditions, which then inform the navigation system's route decisions, acting as a mediator that translates occupant states into navigation parameters
2Ease of operation
If sentiment analysis is added to navigation systems, then user satisfaction improves through personalized routes, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary sentiment analysis continuously in the background, maintaining an up-to-date understanding of occupant conditions without waiting for explicit user input. This preliminary processing of sensor data allows the navigation system to quickly generate personalized routes when needed, reducing the time penalty of sentiment-based customization
3Measurement precision
If multiple sensors are used to detect occupant conditions, then accuracy of sentiment determination improves, but device complexity and cost increase
Solution Approach 1:
The patent employs sensors that serve multiple functions: detecting both emotional states (through physiological indicators) and physical conditions (through motion and environmental data). This multi-functionality allows accurate sentiment determination without proportionally increasing system complexity, as the same sensor infrastructure supports multiple detection goals
Data Source
AI summary
Sentiment-based navigation is provided herein. A method can include extracting features of sensor data captured by a sensor associated with a vehicle, wherein the sensor data is representative of a subject selected from a group of subjects comprising an occupant of the vehicle and an environment in which the vehicle is located, resulting in extracted features. The method can further include determining sentiment data representative of an emotional condition of the occupant of the vehicle based on an analysis of the extracted features, and generating a navigation route for the vehicle from an origin point to a destination point based on the sentiment data.