Justin900429/mimicking-annotation-micro-expression-recognition
[ACM MM22] Mimicking the Annotation Process for Recognizing the Micro Expressions
This project helps researchers analyze human micro-expressions from video footage. It takes raw video datasets of facial expressions, processes them to highlight subtle movements, and then classifies these micro-expressions into specific categories (like happiness, surprise, or other general emotional states). It's designed for academics and scientists studying human behavior and emotion.
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Use this if you are a researcher needing to automatically classify micro-expressions from video datasets like CASME II or SAMM.
Not ideal if you need a real-time micro-expression detection system for live applications or general business use.
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Python
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Last pushed
Oct 07, 2022
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