Route Classification Using Emotional and Scenic Data
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Solution Overview
Problem
Existing systems lack an effective method to classify and recommend travel routes based on both scenic views and emotional experiences, such as stress levels, which are crucial for personalized travel recommendations.
Innovation Solution
A system that uses sensors in vehicles to collect data on scenic views and operator emotional states, classifying routes and recommending them to other users based on this data, allowing for personalized travel route suggestions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional route recommendation systems are used, then routes can be provided based on basic navigation data, but they cannot classify routes based on scenic views or emotional experiences
Solution Approach 1:
The system integrates multiple sensing capabilities (cameras, microphones, biosensors) into a unified route classification platform that simultaneously evaluates scenic views, audio environment, and operator emotional state to generate comprehensive route classifications
Solution Approach 2:
The server acts as an intermediary that receives raw sensor data from client devices, processes this data through machine learning models to generate route classifications, and stores these classifications in a database for future recommendations
2Loss of information
If sensors are added to collect emotional state data, then route classification based on emotional experiences is enabled, but device complexity increases
Solution Approach 1:
The system uses the operator's own biological responses (heart rate, skin conductance, facial expressions) as natural indicators of emotional state, eliminating the need for complex external monitoring equipment while capturing authentic emotional data
Solution Approach 2:
The patent replaces complex mechanical or electronic emotional detection devices with software-based analysis of readily available sensor data from standard mobile device components
3Measurement precision
If comprehensive sensor data is collected for accurate route classification, then route recommendation accuracy is improved, but data processing requirements increase
Solution Approach 1:
The system pre-processes sensor data during the travel experience itself, continuously collecting and preliminarily analyzing data in real-time, so that route classifications are already prepared when the user completes their journey and is ready for recommendation
Solution Approach 2:
The system creates simplified representations (classifications) of complex sensor data experiences, storing these condensed classifications rather than the raw sensor data itself, enabling efficient retrieval and comparison for route recommendations
Data Source
AI summary
The disclosure includes a method that includes assigning a classification to a travel route followed by a first client device based on data associated with when the first client device followed the travel route. The method may further include recommending the travel route to a second client device based on a request from the second client device for a desired travel route with the classification.