Real-Time Facial Emotion Detection Application with Image Processing Based on Convolutional Neural Network (CNN)

Hakim ; Ghaeril Juniawan Parel ; Simangunsong ; Gandi Abetnego ; Rangga Wasita Ningrat ; Jonathan Cristiano Rabika ; Muhammad Rafi' Rusafni ; Endang Purnama Giri ; Gema Parasti Mindara
International Journal of Electrical Engineering, M... 📅 2024 Vol 1, No 4 🔗 DOI: 10.62951/ijeemcs.v1i4.123
Abstract
Facial Emotion Recognition (FER) is a key technology for identifying emotions based on facial expressions, with applications in human-computer interaction, mental health monitoring, and customer analysis. This study presents the development of a real-time emotion recognition system using Convolutional Neural Networks (CNNs) and OpenCV, addressing challenges such as varying lighting and facial occlusions. The system, trained on the FER2013 dataset, achieved 85% accuracy in emotion classification, demonstrating high performance in detecting happiness, sadness, and surprise. The results highlight the system's effectiveness in real-time applications, offering potential for use in mental health and customer behavior analysis.
Keywords
FER; Emotions; CNNs; OpenCV
How to Cite

Hakim, et al. (2024). Real-Time Facial Emotion Detection Application with Image Processing Based on Convolutional Neural Network (CNN). International Journal of Electrical Engineering, Mathematics and Computer Science, 1(4). https://doi.org/10.62951/ijeemcs.v1i4.123

Hakim, Ghaeril Juniawan Parel; Simangunsong, Gandi Abetnego; Rangga Wasita Ningrat; Jonathan Cristiano Rabika; Muhammad Rafi' Rusafni; Endang Purnama Giri; Gema Parasti Mindara, "Real-Time Facial Emotion Detection Application with Image Processing Based on Convolutional Neural Network (CNN)," International Journal of Electrical Engineering, Mathematics and Computer Science, vol. 1, no. 4, 2024.

Hakim, Ghaeril Juniawan Parel; Simangunsong, Gandi Abetnego; Rangga Wasita Ningrat; Jonathan Cristiano Rabika; Muhammad Rafi' Rusafni; Endang Purnama Giri; Gema Parasti Mindara. "Real-Time Facial Emotion Detection Application with Image Processing Based on Convolutional Neural Network (CNN)." International Journal of Electrical Engineering, Mathematics and Computer Science, vol. 1, no. 4, 2024.

Hakim, Ghaeril Juniawan Parel; Simangunsong, Gandi Abetnego; Rangga Wasita Ningrat; Jonathan Cristiano Rabika; Muhammad Rafi' Rusafni; Endang Purnama Giri; Gema Parasti Mindara. "Real-Time Facial Emotion Detection Application with Image Processing Based on Convolutional Neural Network (CNN)." International Journal of Electrical Engineering, Mathematics and Computer Science 1, no. 4 (2024).

Hakim, et al. (2024) 'Real-Time Facial Emotion Detection Application with Image Processing Based on Convolutional Neural Network (CNN)', International Journal of Electrical Engineering, Mathematics and Computer Science, 1(4). doi: 10.62951/ijeemcs.v1i4.123.

Hakim, Ghaeril Juniawan Parel; Simangunsong, Gandi Abetnego; Rangga Wasita Ningrat; Jonathan Cristiano Rabika; Muhammad Rafi' Rusafni; Endang Purnama Giri; Gema Parasti Mindara. Real-Time Facial Emotion Detection Application with Image Processing Based on Convolutional Neural Network (CNN). International Journal of Electrical Engineering, Mathematics and Computer Science. 2024;1(4).

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