Search Results - (( developing human emotion algorithm ) OR ( java data function algorithm ))

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  1. 1

    Human emotion recognition for computer games player using AdaBoost algorithm / Muhamad Nur Adhwa Muhamad Shukri by Muhamad Shukri, Muhamad Nur Adhwa

    Published 2017
    “…The technique used to recognize human emotions is an AdaBoost algorithm as classifier. …”
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    Thesis
  2. 2

    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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    Thesis
  3. 3

    Fuzzy modeling using Bat Algorithm optimization for classification by Noor Amidah, Ahmad Sultan

    Published 2018
    “…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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    Undergraduates Project Papers
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    Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool by Nurshafiqa Saffah, Mohd Sharif

    Published 2018
    “…The use of sensors known as Brain-Computer Interface (BCI) tool can monitor the physical processes and mental states that occur in the human brain. Emotion recognition is found to be an important aspect of the interaction between human being where emotion influences human in daily life. …”
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    Thesis
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    A critical insight into multi-languages speech emotion databases by Ahmad Qadri, Syed Asif, Gunawan, Teddy Surya, Alghifari, Muhammad Fahreza, Mansor, Hasmah, Kartiwi, Mira, Janin, Zuriati

    Published 2019
    “…With increased interest of human-computer/human-human interactions, systems deducing and identifying emotional aspects of a speech signal has emerged as a hot research topic. …”
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    Article
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    Heart-design nexus: the emotion algorithm by Mohd Lokman, Anitawati

    Published 2025
    “…This book, "Heart-Design Nexus: The Emotion Algorithm", represents both a culmination and a continuation of that journey. …”
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    Book
  9. 9

    The design for antrophomorphic sociable agent interaction through emotion detection by Ab. Aziz, Azizi, Siraj, Fadzilah, Sainin, Mohd Shamrie, Mohd Hassin, Mohd Hafiz

    Published 2003
    “…Human emotions rely upon the ability to correctly attribute beliefs, goals and percepts to other people or social respond. …”
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    Conference or Workshop Item
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    Quantum-inspired associative memories for incorporating emotion in a humanoid / Naoki Masuyama by Naoki, Masuyama

    Published 2016
    “…Associative memory is essential to human activity. In the past decades, several artificial neural associativememorymodels have been developed and were expected to provide a new perspective for the modeling of the human brain, and these models were expected to form the basis for a robot to exhibit human-like behavior. …”
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    Thesis
  12. 12

    Multichannel optimization with hybrid spectral- entropy markers for gender identification enhancement of emotional-based EEGs by Al-Qazzaz, Noor Kamal, Sabir, Mohannad K., Mohd Ali, Sawal Hamid, Ahmad, Siti Anom, Grammer, Karl

    Published 2021
    “…Investigating gender differences based on emotional changes supports automatic interpretation of human intentions and preferences. …”
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    Article
  13. 13

    Text-based emotion prediction system using machine learning approach by Ahmad Fakhri, Ab. Nasir, Eng, Seok Nee, Chun, Sern Choong, Ahmad Shahrizan, Abdul Ghani, Anwar, P. P. Abdul Majeed, Asrul, Adam, Mhd, Furqan

    Published 2020
    “…Text-based emotion prediction system to interpret and understand human emotions was successfully developed.…”
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    Conference or Workshop Item
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    HUMAN MOOD DETECTOR BY USING DIGITAL IMAGE PROCESSING by ALI, NOORAZLIN

    Published 2006
    “…These distinct criteria will he used to develop an algorithm that differentiates all the three emotions described before. …”
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    Final Year Project
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    Face emotion recognition using artificial intelligence techniques by Kartigayan Muthukaruppan

    Published 2008
    “…In order to understand the personalized face emotion recognition, the developed fitness functions are applied on two SEA subjects. …”
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    Thesis
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    Industry 5.0 and Education 5.0: Transforming Vocational Education through Intelligent Technology by Zhang, Hongli, Leong, Wai Yie

    Published 2024
    “…By analyzing the research gaps in personalized learning paths, emotion-driven learning, crossdisciplinary integration, and long-term learning behavior analysis, the paper proposes four improved algorithms: the adaptive learning path generation algorithm, the emotion-driven personalized learning algorithm, the cross-disciplinary knowledge graph algorithm, and the long-term learning behavior prediction algorithm. …”
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    Article
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    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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    Thesis
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    Utilizing machine learning technique for emotion learning and aiding mental health issues by Husin, Nor Azura, Wan, Gibson Liang, Kamaruzaman, Nurul Nadhrah

    Published 2022
    “…With this idea, a system named EMOICE, which is a speech emotion recognition system to aid mental health issues, is developed. …”
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    Article
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    SANAsms: Secure short messaging system for secure GSM mobile communication by Anuar, N.B., Azlan, I.M., Wahid, A.W.A., Zakaria, O.

    Published 2008
    “…The system is developed using Java 2 Micro Edition (J2ME) which is written in Java. …”
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    Conference or Workshop Item