Vol. 7 No. 2 (2025), Articles
Vol. 7 No. 2 (2025)

Emotion Recognition System from Facial Expressions Using Machine Learning

Articles
Published 23-05-2025
Sneha Taru
Department of Computer Engineering, Dhole Patil College of Engineering, Wagholi, Pune, India
Ankita Gursali
Department of Computer Engineering, Dhole Patil College of Engineering, Wagholi, Pune, India
Nikita Kedare
Department of Computer Engineering, Dhole Patil College of Engineering, Wagholi, Pune, India
Rutuja Dange
Department of Computer Engineering, Dhole Patil College of Engineering, Wagholi, Pune, India
Manisha Mehrotra
Department of Computer Engineering, Dhole Patil College of Engineering, Wagholi, Pune, India
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Keywords

Facial Emotion Recognition (FER)
Convolutional Neural Networks (CNN)
Deep Learning (DL)
Human-Computer Interaction (HCI)
OpenCV
Transfer Learning (TL)
Real-Time Image Processing
Affective Computing

How to Cite

Taru, Sneha, Ankita Gursali, Nikita Kedare, Rutuja Dange, and Manisha Mehrotra. 2025. “Emotion Recognition System from Facial Expressions Using Machine Learning”. Journal of Artificial Intelligence and Capsule Networks 7 (2): 125-36. https://doi.org/10.36548/jaicn.2025.2.003.
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Abstract

Facial Emotion Recognition (FER) enables automatic classification detection of human emotions from facial expressions using deep learning (DL) and computer vision techniques. In this paper, a hybrid real-time emotion recognition system using Convolutional Neural Networks (CNNs), OpenCV, and DeepFace is proposed to achieve accurate and dynamic emotion analysis. The system aims to identify emotions such as happiness, sadness, anger, surprise, and fear with a high level of accuracy to enable enhanced Human-Computer Interaction (HCI), mental health monitoring, and smart safety systems. The method used includes offline training of the model and real-time emotion recognition using video. The technique employs continuous learning and optimization strategies to maximize recognition rates and resilience in practical environments.

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References

Hassouneh, Aya, A. M. Mutawa, and M. Murugappan. "Development of a real-time emotion recognition system using facial expressions and EEG based on machine learning and deep neural network methods." Informatics in Medicine Unlocked 20 (2020): 100372.

Deshmukh, Renuka S., Vandana Jagtap, and Shilpa Paygude. "Facial emotion recognition system through machine learning approach." In 2017 international conference on intelligent computing and control systems (iciccs), IEEE, (2017): 272-277.

Hebri, Dheeraj, Ramesh Nuthakki, Ashok Kumar Digal, K. G. S. Venkatesan, Sonam Chawla, and C. Raghavendra Reddy. "Effective facial expression recognition system using machine learning." EAI Endorsed Transactions on Internet of Things 10 (2024).

Ivanova, Ekaterina, and Georgii Borzunov. "Optimization of machine learning algorithm of emotion recognition in terms of human facial expressions." Procedia Computer Science 169 (2020): 244-248.

Kim, Sanghyuk, Gwon Hwan An, and Suk-Ju Kang. "Facial expression recognition system using machine learning." In 2017 international SoC design conference (ISOCC), IEEE, (2017): 266-267.

Uddin, Md Zia, Mohammed Mehedi Hassan, Ahmad Almogren, Mansour Zuair, Giancarlo Fortino, and Jim Torresen. "A facial expression recognition system using robust face features from depth videos and deep learning." Computers & Electrical Engineering 63 (2017): 114-125.

Ge, Huilin, Zhiyu Zhu, Yuewei Dai, Biao Wang, and Xuedong Wu. "Facial expression recognition based on deep learning." Computer Methods and Programs in Biomedicine 215 (2022): 106621.

Fathima, Amreen, and K. Vaidehi. "Review on facial expression recognition system using machine learning techniques." In International Conference on E-Business and Telecommunications, Cham: Springer International Publishing, (2019): 608-618.

Fathallah, Abir, Lotfi Abdi, and Ali Douik. "Facial expression recognition via deep learning." In 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA), IEEE, (2017): 745-750.

Perveen, Nazia, Nazir Ahmad, M. A. Q. B. Khan, Rizwan Khalid, and Salman Qadri. "Facial expression recognition through machine learning." International Journal of Scientific & Technology Research 5, no. 03 (2016).