Mood Log System Using Facial Recognition for Emotional Tracking
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Solution Overview
Problem
Current technologies lack an effective method to generate a mood log based on user images, particularly in social messaging systems, which limits users' awareness of their emotional states and interactions with others.
Innovation Solution
A mood log system that utilizes facial recognition technology to determine a user's mood and intensity from images taken by their mobile device, storing these mood levels and generating graphical representations to provide deeper emotional insights without requiring specific user action.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If facial recognition technology is used to determine user mood from images, then emotional awareness is improved, but device complexity increases
Solution Approach 1:
The patent introduces an image processing system as an intermediary between the user's mobile device and the mood analysis function. This intermediary system handles the complex facial recognition and emotion detection algorithms, allowing the mobile device to remain simple while still achieving accurate emotional awareness through processed image data.
2Loss of information
If mood tracking is performed continuously through social messaging activity, then emotional insights are improved, but loss of time increases
Solution Approach 1:
The system performs preliminary processing by analyzing facial expressions and determining mood levels at the moment images are captured during social messaging activities. This preliminary action captures emotional data in real-time before the user completes their messaging task, eliminating the need for separate mood assessment steps and reducing overall time investment.
3Ease of operation
If automated mood detection is implemented, then ease of operation is improved, but measurement precision may worsen
Solution Approach 1:
The system incorporates feedback mechanisms where the processed mood data is returned to the user in the form of mood logs and graphical representations. This feedback loop allows users to verify the accuracy of automated detections and provides opportunities to correct or refine mood assessments, thereby maintaining high measurement precision while preserving ease of operation.
Data Source
AI summary
A system and method for generate a mood log based on user images. In one embodiment, a system includes an image module that receives images taken by a user's mobile computing device and determines that a face of the user is included in the image, a mood module that determines a mood level of the user based on the face, and a log module that stores the mood level in a log of mood levels for the user.