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  1. 1
    Real-time system for facial emotion detection using GPSO algorithm

    Real-time system for facial emotion detection using GPSO algorithm by Bashir, Mohammed Ghandi, R., Nagarajan, Prof. Dr., Hazry, Desa, Assoc. Prof. Dr.

    Published 2012
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  2. 2
    Facial features for template matching based face recognition

    Facial features for template matching based face recognition by Chai, Tong Yuen, Mohd Rizon, Mohamed Juhari, Prof. Dr., Woo, San San, Tan, Ching Seong, Dr.

    Published 2011
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    Article
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  3. 3
    Automatic detection of face and facial features

    Automatic detection of face and facial features by Chai, Tong Yuen, Mohd Rizon, Mohamed Juhari, Prof. Dr., Woo, San San, Sugisaka, M.

    Published 2011
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  4. 4
    Facial Drowsiness Signs Detection Algorithm Using Image Processing Techniques For Various Lighting Condition

    Facial Drowsiness Signs Detection Algorithm Using Image Processing Techniques For Various Lighting Condition by Yuri, Nur Fatin Izzati

    Published 2017
    “…In this project, the algorithm is developed based on four main algorithms which are the detection algorithm, the tracking algorithm, the preprocessing algorithm and the drowsiness signs analysis algorithm. …”
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    Thesis
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  5. 5
    Facial Feature Extraction Based on Improved Harris Corner Detection Algorithm

    Facial Feature Extraction Based on Improved Harris Corner Detection Algorithm by Bagherian, Elhaam

    Published 2011
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  6. 6
    Integrated face and facial components detection

    Integrated face and facial components detection by Ho, Lip Chin, Hanafi, Marsyita, Salka, Tanko Danial

    Published 2015
    “…This paper presents an algorithm that detects faces and facial features (eyes, nose and mouth) on images captured by CCTV system under various imaging conditions, such as variation in poses, scale, illumination and occlusion. …”
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  7. 7
    Particle Swarm Optimization algorithm for facial emotion detection

    Particle Swarm Optimization algorithm for facial emotion detection by Ghandi, B.M., Nagarajan, R., Hazry, Desa, Prof. Madya Dr.

    Published 2010
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  8. 8
    FACIAL RECOGNITION AT GATED COMMUNITY

    FACIAL RECOGNITION AT GATED COMMUNITY by Mirza Kelana, Muhammad Hilmi

    Published 2021
    “…Machine learning in the facial detection context can be trained to recognize faces by using an algorithm for it to perform its task such as training and testing process for accuracy of face recognition. …”
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    Final Year Project
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  9. 9
    Feature-based face recognition system using utilized artificial neural network

    Feature-based face recognition system using utilized artificial neural network by Chai, Tong Yuen

    Published 2010
    “…The main contributions of this project are the automatic algorithms for mouth detection, facial features cropping and face classification. …”
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  10. 10
    3D face registration across pose variation and facial expression using cross profile alignment

    3D face registration across pose variation and facial expression using cross profile alignment by Anuar, Laili Hayati

    Published 2011
    “…The experiment conducted on challenging 3D face databases yields good results with 94.77% detection rate for the nose tip region detection algorithm. …”
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  11. 11
    Facial mask detection in low light environment

    Facial mask detection in low light environment by Kennedy Gregory Mojuntin

    Published 2022
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    Academic Exercise
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  12. 12
    Facial emotion detection using GPSO and Lucas-Kanade algorithms

    Facial emotion detection using GPSO and Lucas-Kanade algorithms by Bashir, Mohammed Ghandi, Nagarajan, Ramachandran, Prof. Dr., Hazry, Desa, Prof. Madya Dr.

    Published 2010
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  13. 13
    Anger Detection in Monitoring Drivers’ Facial Expression using Mobile App

    Anger Detection in Monitoring Drivers’ Facial Expression using Mobile App by Ee, Min Jie

    Published 2019
    “…This is because vibrating steering wheel can be caused by faulty brakes, wheel alignment and punctured tires. In order to detect driver’s angry facial expression, image processing algorithm will be applied and implemented in this project. …”
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    Final Year Project Report / IMRAD
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  14. 14
    Automated face localization and facial features detection using geometric information

    Automated face localization and facial features detection using geometric information by Chai, Tong Yuen, Mohd Rizon, Mohamed Juhari, Prof. Dr., Karthigayan, M., Sugisaka, M., Hazry, Desa, Dr., Ibrahim, Z.

    Published 2011
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  15. 15
    Face anti-spoofing using Convolutional Neural Networks / Siti Nurul Izzah Bahrain

    Face anti-spoofing using Convolutional Neural Networks / Siti Nurul Izzah Bahrain by Bahrain, Siti Nurul Izzah

    Published 2024
    “…Face anti-spoofing is a revolutionary technology involved in various aspects of daily life. Specifically, facial anti-spoofing is a detection process that involves using printed or even keepsakes to mimic genuine facial appearances, and it is related to the facial detection application. …”
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  16. 16
    Facial emotion detection using Guided Particle Swarm Optimization (GPSO)

    Facial emotion detection using Guided Particle Swarm Optimization (GPSO) by Bashir, Mohammed Ghandi, Nagarajan, R., Hazry, Desa

    Published 2009
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  17. 17
    Human Spontaneous Emotion Detection System

    Human Spontaneous Emotion Detection System by Radin Monawir, Radin Puteri Hazimah

    Published 2018
    “…Having smart computerized system which can understand and instantly gives appropriate response to human is the utmost motive in human and computer interaction (HCI) field.It is argued either HCI is considered advance if human could not have natural and comfortable interaction like human to human interaction.Besides,despite of several studies regarding emotion detection system, current system mostly tested in laboratory environment and using mimic emotion.Realizing the current system research lack of real life or genuine emotion input,this research work comes up with the idea of developing a system that able to recognize human emotion through facial expression.Therefore,the aims of this study are threefold which are to enhance the algorithm to detect spontaneous emotion,to develop spontaneous facial expression database and to verify the algorithm performance.This project used Matlab programming language,specifically Viola Jones method for features tracking and extraction,then pattern matching for emotion classification purpose.Mouth feature is used as main features to identify the emotion of the expression.For verification purpose,the mimic and spontaneous database which are obtained from internet,open source database or novel (own) developed databases are used.Basically,the performance of the system is indicated by emotion detection rate and average execution time.At the end of this study,it is found that this system is suitable for recognizing spontaneous facial expression (63.28%) compared to posed facial expression (51.46%).The verification even better for positive emotion with 71.02% detection rate compared to 48.09% for negative emotion detection rate.Finally,overall detection rate of 61.20% is considered good since this system can execute result within 3s and use spontaneous input data which known as highly susceptible to noise.…”
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  18. 18
    Emotion detecting humanoid – the use of GPSO Algorithm

    Emotion detecting humanoid – the use of GPSO Algorithm by Bashir, Mohammed Ghandi, Ramachandran, Nagarajan, Prof. Dr., Hazry, Desa, Assoc. Prof. Dr.

    Published 2012
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  19. 19
    Computing non-contactable drowsiness monitoring system with mobile machine vision

    Computing non-contactable drowsiness monitoring system with mobile machine vision by Alixson Polumpung, Lorita Angeline, Helen Sin Ee Chuo, Tan, Min Keng, Lim, Kit Guan, Teo, Kenneth Tze Kin

    Published 2022
    “…This project proposes a human facial features detection based on color segmentation via skin color and Viola- Jones algorithm for real time application. …”
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  20. 20
    Target heart rate zone detector during exercise based on real-time facial expression using single shot detection algorithm / Muhammad Azziq Shamsudin, Raihah Aminuddin and Ummu Mardhiah Abdul Jalil

    Target heart rate zone detector during exercise based on real-time facial expression using single shot detection algorithm / Muhammad Azziq Shamsudin, Raihah Aminuddin and Ummu Mardhiah Abdul Jalil by Shamsudin, Muhammad Azziq, Aminuddin, Raihah, Abdul Jalil, Ummu Mardhiah

    Published 2022
    “…The object detection machine learning model used in this project is Single Shot Detector (SSD) algorithm. …”
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    Book Section
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