Emotion-detection and Facial-Expression-Detection
About Emotion-detection
atulapra/Emotion-detection
Real-time Facial Emotion Detection using deep learning
This project helps you classify a person's real-time facial expressions into seven core emotions: angry, disgusted, fearful, happy, neutral, sad, and surprised. It takes live webcam video as input and outputs the detected emotion displayed on the screen. This is designed for researchers, developers, or anyone interested in exploring real-time human emotion recognition from video feeds.
About Facial-Expression-Detection
MauryaRitesh/Facial-Expression-Detection
Facial Expression or Facial Emotion Detector can be used to know whether a person is sad, happy, angry and so on only through his/her face. This Repository can be used to carry out such a task.
This tool helps you analyze a person's real-time emotional state by observing their face through a webcam. It takes live video input and outputs classifications like "happy," "sad," "angry," "calm," or "neutral." This is useful for researchers studying human emotion, educators observing student engagement, or anyone interested in automated facial expression recognition.
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