robi56/FaceEMR
Facial Expression Recognition in android where the predictive model built in tensorflow using convolutional neural network
This project helps Android developers integrate facial emotion recognition into their apps. It provides a pre-trained model that takes a grayscale image of a face as input and outputs one of seven emotions: Angry, Disgust, Fear, Happy, Sad, Surprise, or Neutral. It's designed for developers building mobile applications that need to analyze user emotions from facial expressions.
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Use this if you are an Android developer looking to quickly add facial emotion detection capabilities to your mobile application using a pre-built TensorFlow model.
Not ideal if you need a high-performance, real-time emotion detection system for professional deployment or require recognizing a wider range of emotions beyond the seven categories provided.
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33
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15
Language
Java
License
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Category
Last pushed
Apr 27, 2018
Commits (30d)
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