International Journal for Research in Applied Science & Engineering Technology (IJRASET)

ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.538

Volume 11 Issue II Feb 2023- Available at www.ijraset.com

The results are below

1) By using 3 hidden layer (Accuracy 54.1%) a) Layer 1 { Filter size (48), kernelsize(3,3)} b) Layer 2 { Filter size (64), kernelsize(3,3), dropout(0.10)} c) Layer 3 { Filter size (128),kernel size(3,3), dropout(0.10)}

2) By using 3 hidden layer (Accuracy 59.3%) a) Layer 1 { Filter size (64), kernel size(5,5)} b) Layer 2 { Filter size (64), kernel size(3,3), dropout(0.10)} c) Layer 3 { Filter size (128),kernel size(3,3), dropout(0.10)}

3) By using 4 hidden layer (Accuracy 62.05 %) a) Layer 1 { Filter size (64), kernel size(5,5)} b) Layer 2 { Filter size (128), kernel size(3,3), dropout(0.10)} c) Layer 3 { Filter size (128), kernel size(3,3), dropout(0.10)} d) Layer 4 { Filter size (256),kernel size(3,3), dropout(0.10)}

4) By using 4 hidden layer (Accuracy 63.84 %) a) Layer 1 { Filter size (64), kernel size(5,5)} b) Layer 2 { Filter size (128), kernel size(3,3), dropout(0.10)} c) Layer 3 { Filter size (128), kernel size(3,3), dropout(0.10)} d) Layer 4 { Filter size (256),kernel size(3,3), dropout(0.10)}

5) By using 5 hidden layer (Accuracy66.27 %) a) Layer 1 { Filter size (64), kernel size(5,5)} b) Layer 2 { Filter size (128), kernel size(3,3), dropout(0.10)} c) Layer 3 { Filter size (128), kernel size(3,3), dropout(0.10)} d) Layer 4 { Filter size (256), kernel size(3,3), dropout(0.10)} e) Layer 5 { Filter size (512),kernel size(3,3), dropout(0.10)}

6) By using 6 hidden layer (Accuracy 70.6%) a) Layer 1 { Filter size (64), kernel size(5,5)} b) Layer 2 { Filter size (128), kernel size(3,3), dropout(0.10)} c) Layer 3 { Filter size (128), kernel size(3,3), dropout(0.10)} d) Layer 4 { Filter size (256), kernel size(3,3), dropout(0.10)} e) Layer 5 { Filter size (256), kernel size(3,3), dropout(0.10)} f) Layer 6 { Filter size (512), kernel size(3,3), dropout(0.10)}

7) By using 7 hidden layer (Accuracy 69.05 %) a) Layer 1 { Filter size (64), kernel size(5,5)} b) Layer 2 { Filter size (128), kernel size(3,3), dropout(0.10)} c) Layer 3 { Filter size (128), kernel size(3,3), dropout(0.10)} d) Layer 4 { Filter size (256), kernel size(3,3), dropout(0.10)} e) Layer 5 { Filter size (256), kernel size(3,3), dropout(0.10)} f) Layer 6 { Filter size (512), kernel size(3,3), dropout(0.10)} g) Layer 7 { Filter size (512), kernel size(3,3), dropout(0.10)}

ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.538

Volume 11 Issue II Feb 2023- Available at www.ijraset.com

In the second proposed model after classification of the dataset the difference in the amount of images in classes was too high. Happy class had >50000 images and <300 images in the sad class and disgusted class. Due to the imbalance of images we quitted the experiment.

VI. APPLICATION

In the rapid growth oftechnologies, the demands of emotion recognition have increased. There are many areas where it is used1)