An LSTM trained on MediaPipe blendshapes reports 71% accuracy on a three-class version of FER2013, but the claimed match to the seven-class benchmark is unsupported.
Facial emotion recognition using handcrafted features and cnn.Procedia Computer Science, 218:1295–1303, 2023
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Emotion estimation from video footage with LSTM
An LSTM trained on MediaPipe blendshapes reports 71% accuracy on a three-class version of FER2013, but the claimed match to the seven-class benchmark is unsupported.