International Conference on Computer and Knowledge Engineering

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Performance Evaluation Study of Color Space Selection In Video Based Facial Expression Recognition Using Deep Neural Networks For Sentiment Analysis

Authors :

Phee Wei Qin¹ Ervin Gubin Moung² Ali Farzamnia³ Farashazillah Yahya⁴ John Julius Danker Khoo⁵ Maisarah Mohd Sufian⁶

1- Faculty Of Computing And Informatics Universiti Malaysia Sabah (UMS) 2- Faculty Of Computing And Informatics Universiti Malaysia Sabah (UMS) 3- Faculty of Engineering, Universiti Malaysia Sabah 4- Faculty Of Computing And Informatics Universiti Malaysia Sabah (UMS) 5- Faculty of Computing and Informatics Univerisity Malaysia Sabah 6- Faculty of Engineering, Universiti Malaysia Sabah

Keywords :

Emotion،Machine Learning،CNN،facial expression recognition،color space،sentiment analysis

Abstract :

Automated facial expression recognition is popular for diagnosing mental diseases and interpreting human emotions. Image sentiment analysis helps incorporate feedback for improved product development. However, there's a lack of research on the effect of different color spaces on facial expression recognition performance. Thus, there are three objectives in this project, which are to develop a deep learning-based facial expression recognition system for image sentiment analysis. Second, to investigate the effect of different color spaces on facial expression recognition and select the best one. Lastly, to evaluate the accuracy of the system on the AffectNet dataset. The color spaces to be tested are RGB, YCBCR, HSV, XYZ, and YIQ. The methodology involves selecting the AffectNet dataset, pre-processing the images, building a Convolutional Neural Network model, and evaluating performance using metrics like accuracy, precision, recall, and F1-score.

Papers List

List of archived papers

Instance Selection from Skewed Class Distributions by Using the multi-objective optimizer

Mona Moradi - Javad Hamidzadeh

LightFedSelect: A Lightweight Framework for Byzantine-Robust Federated Learning

Seyed Saeed Razavi - Seyed Arsalan Vasegh Rahim Parvar - Soroosh Dadashi Pakdeh - Mohammad Matin Rezaeifard - Morteza Mollaie Chafi - Reza Ebrahimi Atani

Improvement of CluStream Algorithm Using Sliding Window for the Clustering of Data Streams

Sahar Ahsani - Morteza Yousef Sanati - Muharram Mansoorizadeh

Deep Learning-Based Malaysian Sign Language (MSL) Recognition: Exploring the Impact of Color Spaces

Ervin Gubin Moung - Precilla Fiona Suwek - Maisarah Mohd Sufian - Valentino Liaw - Ali Farzamnia - Wei Leong Khong

Multi-Fusion Ensemble CNN for Drug–Target Binding Affinity Prediction Using Transformer-Based Molecular and Protein Representations

Betsabeh Tanoori

Deep Inside Tor: Exploring Website Fingerprinting Attacks on Tor Traffic in Realistic Settings

Amirhossein Khajehpour - Farid Zandi - Navid Malekghaini - Mahdi Hemmatyar - Naeimeh Omidvar - Mahdi Jafari Siavoshani

A New Application of Machine Learning Based Methods for Disk Space Variation Fault Diagnosis in Transformer Windings

Reza Behkam - Amir Lotfi - Gevork B. Gharehpetian

Multi-Layered Defense Against Modern Phishing: A Dual-Sandbox and CDR Approach

Mahdi Seyfipoor - Mohammad Mahdi Eskandari

Collaborative LLM Reasoning for Vulnerability Detection in Smart Contracts

Amirreza Samari - Parsa Hedayatnia - Seyyed Javad Bozorgzadeh Razavi - Mohammad Allahbakhsh - Haleh Amintoosi

Supervised Contrastive Learning for Short Text Classification in Natural Language Processing

Mitra Esmaeili - Hamed Vahdat nejad