This invention describes a computer system that analyzes a person's face using machine learning. It identifies the face in an image, then uses multiple image classifiers to detect specific facial movements or expressions, assigning confidence values to them. These values are summed up to translate the facial expression into a representative icon, specifically an emoji selected from a pre-defined set based on the detected emotion.
Why it matters: Since 2020, the accuracy and accessibility of convolutional neural networks for real-time facial analysis have significantly improved. This makes building the core machine learning system more straightforward on common hardware.
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