Pengenalan Ekspresi Wajah Menggunakan Convolutional Neural Network (CNN)
DOI:
https://doi.org/10.55606/jcsrpolitama.v1i6.3046Keywords:
facial expressions, CNN, MobilenetV2Abstract
Facial expression recognition is an important research area in the advancement of machine learning. This research uses Convolutional Neural Network (CNN) as a method for recognizing facial expressions with a fairly high level of accuracy. This research uses a dataset obtained from Kaggle in the form of images of facial expressions, including surprised, happy, sad, afraid, angry and neutral. The MobilenetV2 CNN model was trained and tested using this dataset. The research results show that the model is able to recognize facial expressions with 78% accuracy on test data. It can be concluded that the MobilenetV2 model is quite capable of recognizing facial expressions.
Downloads
References
S. S. Shafira, N. Ulfa, H. A. Wibawa and Rismiyati, "Facial Expression Recognition Using Extreme Learning Machine," 2019 3rd International Conference on Informatics and Computational Sciences (ICICoS), Semarang, Indonesia, 2019, pp. 1-6, doi: 10.1109/ ICICoS48119.2019.8982443.
S. Apendi, C. Setianingsih, and M. W. Paryasto, “Deteksi Bahasa IsyaratSistem Isyarat Bahasa Indonesia Menggunakan Metode Single Shot Multibox Detector,” eProceedings of Engineering, vol. 10, no. 1, 2023.
V. A. Sutama, S. A. Wibowo, and R. Rahmania, “Investigasi Pengaruh Step Training pada Metode Single Shot Multibox Detector untuk Marker dalam Teknologi Augmented Reality,” Jurnal Ilmiah Fifo, vol. 12, no. 1, pp. 1–11, 2020.
I. Mudzakirand T. Arifin, “Klasifikasi Penggunaan Masker dengan Convolutional Neural Network Menggunakan Arsitektur MobileNetv2,” EXPERT: Jurnal Manajemen Sistem Informasi Dan Teknologi, vol. 12, no. 1, pp. 76–81, 2022.
R. O. Ekoputris, “MobileNet: Deteksi Objek pada Platform Mobile,” Medium, May, vol. 9, 2018
Nugroho, P. A., Fenriana, I., & Arijanto, R. (2020). Implementasi Deep Learning Menggunakan Convolutional Neural Network (Cnn) Pada Ekspresi Manusia. Algor, 2(1), 12-20.
Guntoro, A. S., Julianto, E., & Budiyanto, D. (2022). Pengenalan Ekspresi Wajah Menggunakan Convolutional Neural Network. Jurnal Informatika Atma Jogja, 3(2), 155-160.
S. Tammina, “Transfer learning using VGG-16 with Deep Convolutional Neural Network for Classifying Images,” Int. J. Sci. Res. Publ., vol. 9, no. 10, p. p9420, 2019
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Journal of Creative Student Research

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.