- Built a Deep Learning model using Convolutional Neural Networks which can detect facial expressions and hand gestures .
- Classified the emotion on a person’s face into one of seven categories, using deep convolutional neural networks on the FER-2013 dataset which has 35887 grayscale face images with seven emotions namely angry, disgusted, fearful, happy, neutral, sad, and surprised.
- For gesture detection, VGG 16, a widely used convolutional neural network architecture was used as a pre-trained model for training our new model, which could classify hand gestures like love, power, ok, victory from the testing dataset images.
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Buit a Deep Learning model using Convolutional Neural Networks which can detect facial expressions and hand gestures . Classified the emotion on a person’s face into one of seven categories, using deep convolutional neural networks using the FER-2013 dataset which has 35887 grayscale face images with seven emotions - angry, disgusted, fearful, h…
PranavKathar/DeepVision-Emotion-and-Gesture-Detection
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Buit a Deep Learning model using Convolutional Neural Networks which can detect facial expressions and hand gestures . Classified the emotion on a person’s face into one of seven categories, using deep convolutional neural networks using the FER-2013 dataset which has 35887 grayscale face images with seven emotions - angry, disgusted, fearful, h…
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