Mobile Terminal Facial Expression Analysis for Emotion-Based Picture Pushing
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Solution Overview
Problem
Users face inconvenience in selecting a favorite picture from server-pushed images as the server lacks knowledge of the user's state, making it difficult to apply these images as wallpapers, and the process of choosing a suitable picture on a webpage is time-consuming.
Innovation Solution
A method and mobile terminal that acquire and analyze a user's facial expression to determine their emotion type, filtering a picture gallery to push a target picture matching the user's emotion type, thereby reducing the time spent on picture selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the server pushes pictures aperiodically without knowing user state, then the server can provide picture content, but the pushed pictures are not likely to match user preferences
Solution Approach 1:
The system captures the user's facial expression image, analyzes the emotion type, and uses this feedback to determine which picture to push. This creates a closed-loop system where the server adapts to user state, resolving the contradiction between lacking user information and achieving accurate picture matching.
Solution Approach 2:
The system performs preliminary emotion recognition and analysis before pushing the picture. By capturing and analyzing the user's facial expression in advance, the system determines the appropriate picture to push, ensuring the picture matches user preferences before delivery.
2Ease of operation
If the user manually chooses a picture from pushed pictures or on a webpage, then the user can select a favorite picture, but the process takes a lot of time
Solution Approach 1:
The system automatically performs picture selection based on user facial expression analysis without requiring manual user intervention. The terminal or server autonomously determines and pushes the appropriate picture, eliminating the time-consuming manual browsing and selection process while maintaining user preference accuracy.
Solution Approach 2:
The system uses rapid facial expression recognition and emotion analysis technology to quickly determine user state and select appropriate pictures, dramatically accelerating the picture selection process compared to traditional manual methods.
Data Source
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AI summary
A method for pushing an picture, a terminal and a storage medium are provided. The method includes the follows. An image containing a facial expression of a user is acquired, when a screen is lit; the image is analyzed to determine a emotion type of the user; and a target picture is pushed according to the emotion type of the user.