GitHub - Tanoy004/Emotion-recognition-through-CNN: Emotion recognition is defined as identifying human emotion and is directly related to different fields such as human-computer interfaces, human emotional processing, irrational analysis, medical diagnostics, data-driven animation, human-robot communication and many more. This paper proposes a new facial emotional recognition model using a convolutional neural network. Our proposed model, “ConvNet”, detects seven specific emotions from image data including anger, disgust, fear, happiness, neutrality, sadness, and surprise.

Tanoy004 / Emotion-recognition-through-CNN Public

Emotion recognition is defined as identifying human emotion and is directly related to different fields such as human-computer interfaces, human emotional processing, irrational analysis, medical diagnostics, data-driven animation, human-robot communication and many more. This paper proposes a new facial emotional recognition model using a convo…

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Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
Confusion matrix.txt		Confusion matrix.txt
FER-Landmarks-CNN-LBP.txt		FER-Landmarks-CNN-LBP.txt
align_faces.py		align_faces.py
crop_faces.py		crop_faces.py
cv_file_to_image_dataset.py		cv_file_to_image_dataset.py
data.csv		data.csv
data.json		data.json
data1.csv		data1.csv
data2.csv		data2.csv
data_labels_file.py		data_labels_file.py
data_loader.py		data_loader.py
dataset_to_LBP_Landmark_Feature.py		dataset_to_LBP_Landmark_Feature.py
emotion_recognition.py		emotion_recognition.py
fer.json		fer.json
fer5.json.txt		fer5.json.txt
fer6.json.txt		fer6.json.txt
haarcascade_frontalface_default.xml		haarcascade_frontalface_default.xml
images_to_csv.py		images_to_csv.py
lbp1_localbinarypatterns.py		lbp1_localbinarypatterns.py
lbp1_recognize.py		lbp1_recognize.py
lbp1_testing.py		lbp1_testing.py
lbp1_training.py		lbp1_training.py
new.py		new.py
out.avi		out.avi
parameters.py		parameters.py
plot_dataset.py		plot_dataset.py
resize_image_in_required_format.py		resize_image_in_required_format.py
spotify_top_100.csv		spotify_top_100.csv
stitched (1).png		stitched (1).png
stitched.png		stitched.png
stitchedim.png		stitchedim.png
stitchedimg.png		stitchedimg.png
student-por.csv		student-por.csv
teststitched.png		teststitched.png
videoTester.py		videoTester.py