Search Results - (( emotion detection based algorithm ) OR ( _ identification using algorithm ))*

Search alternatives:

Refine Results
  1. 1
    Multichannel optimization with hybrid spectral- entropy markers for gender identification enhancement of emotional-based EEGs

    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
    “…Finally, the k-nearest neighbors ( kNN) classification technique was used for automatic gender identification of an emotional-based EEG dataset. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  2. 2
    Effective EEG channels for emotion identification over the brain regions using differential evolution algorithm

    Effective EEG channels for emotion identification over the brain regions using differential evolution algorithm by Al-Qazzaz, Noor Kamal, Sabir, Mohannad K., Md. Ali, Sawal Hamid, Ahmad, Siti Anom, Grammer, Karl

    Published 2019
    “…The differential evolution-based channel selection algorithm (DEFS_Ch) was computed to find the most suitable EEG channels that have the greatest efficacy for identifying the various emotional states of the brain regions. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  3. 3
    Emotion Detection Based on EEG Signal

    Emotion Detection Based on EEG Signal by Mohamad Nasaruddin, Noradila

    Published 2021
    “…Thus, this project aimed to study the emotion detection through EEG signal and proposed the right algorithm to process the signal. …”
    Get full text
    Get full text
    Final Year Project
    Save to List
    Saved in:
  4. 4
    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
    Get full text
    Working Paper
    Save to List
    Saved in:
  5. 5
    Deep learning model for 5W (What, When, Where, Who, and Why) sign language translation system / Raihah Aminuddin, Ummu Mardhiah Abdul Jalil and Norsyamimi Hasran

    Deep learning model for 5W (What, When, Where, Who, and Why) sign language translation system / Raihah Aminuddin, Ummu Mardhiah Abdul Jalil and Norsyamimi Hasran by Aminuddin, Raihah, Abdul Jalil, Ummu Mardhiah, Hasran, Norsyamimi

    Published 2023
    “…This research presents a 5W sign language identification system based on the Convolutional Neural Network technique and the You Only Look Once algorithm. …”
    Get full text
    Get full text
    Get full text
    Book Section
    Save to List
    Saved in:
  6. 6
    Beyond Sentiment Analysis: A Review of Recent Trends in Text Based Sentiment Analysis and Emotion Detection

    Beyond Sentiment Analysis: A Review of Recent Trends in Text Based Sentiment Analysis and Emotion Detection by Lai Po Hung, Suraya Alias

    Published 2023
    “…We also look at the models of emotion classes that are generally referenced. The trend of text-based emotion detection has shifted from the early keyword-based comparisons to machine learning and deep learning algorithms that provide more flexibility to the task and better performance.…”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    Development of a personified face emotion recognition technique using fitness function

    Development of a personified face emotion recognition technique using fitness function by Muthukaruppan, Karthigayan, Mohd Rizon, Mohamed Juhari, Ramachandran, Nagarajan, Masanori, Sugisaka, Sazali, Yaacob, Mohd Rozailan, Mamat, Hazry, Desa

    Published 2009
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    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
    Get full text
    Working Paper
    Save to List
    Saved in:
  9. 9
    Deep learning based emotion recognition for image and video signals: matlab implementation

    Deep learning based emotion recognition for image and video signals: matlab implementation by Ashraf, Arselan, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2021
    “…Five emotions are considered for recognition: angry, happy, neutral, sad, and surprise, compared to previous algorithms. …”
    Get full text
    Get full text
    Book
    Save to List
    Saved in:
  10. 10
    Detection of mental disorders based on the analysis of emotion, facial expressions and facial movements in a video stream

    Detection of mental disorders based on the analysis of emotion, facial expressions and facial movements in a video stream by Nurzhanova, Aizhan, Mussabek, Miras, Ince, Gokhan, Mustaffa, Mas Rina, Zhumadillayeva, Ainur

    Published 2025
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    GPSO versus GA in facial emotion detection

    GPSO versus GA in facial emotion detection by Bashir, Mohammed Ghandi, Ramachandran, Nagarajan, Prof. Dr., Sazali, Yaacob, Prof. Dr., Hazry, Desa, Assoc. Prof. Dr.

    Published 2012
    Get full text
    Working Paper
    Save to List
    Saved in:
  12. 12
    HelpMe: early detection of university students' mental health issues using a chatbot-integrated dashboard / Nadia Abdul Wahab ... [et al.]

    HelpMe: early detection of university students' mental health issues using a chatbot-integrated dashboard / Nadia Abdul Wahab ... [et al.] by Nadia Abdul Wahab, Nadia Abdul Wahab, Ahmad Asyraf Zainudin, Ahmad Asyraf Zainudin, Norfiza Ibrahim, Norfiza Ibrahim, Aznoora Osman, Aznoora Osman, Abdul Hapes Mohammed, Abdul Hapes Mohammed

    Published 2025
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  13. 13
    Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool

    Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool by Nurshafiqa Saffah, Mohd Sharif

    Published 2018
    “…The data analysis of the both baseline and rule-based prediction sets have shown that there are not many differences between the trend of the positive and negative emotions percentage of both sets. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  14. 14
    Fundamental Research Grant Scheme (FRGS) - FRGS19-076-0684, Speech Emotion Recognition and Depression Prediction Based on Speech Analysis using Deep Neural Networks

    Fundamental Research Grant Scheme (FRGS) - FRGS19-076-0684, Speech Emotion Recognition and Depression Prediction Based on Speech Analysis using Deep Neural Networks by Gunawan, Teddy Surya, Draman, Samsul, Kartiwi, Mira, Borhan, Lihanna, Abdul Malik, Noreha, Abdul Rahman, Farah Diyana, Elsheikh, Elsheikh Mohamed Ahmed, Alghifari, Muhammad Fahreza, Ahmad Qadri, Syed Asif, Ashraf, Arselan, Wani, Taiba Majid

    Published 2022
    “…We propose several deep-learning-based methodologies for detecting emotion and depression in this research. …”
    Get full text
    Get full text
    Monograph
    Save to List
    Saved in:
  15. 15
    Enhanced emotion recognition in videos: a convolutional neural network strategy for human facial expression detection and classification

    Enhanced emotion recognition in videos: a convolutional neural network strategy for human facial expression detection and classification by Ashraf, Arselan, Gunawan, Teddy Surya, Arifin, Fatchul, Kartiwi, Mira, Sophian, Ali, Habaebi, Mohamed Hadi

    Published 2023
    “…To address these issues, we propose a comprehensive CNN-based model for real-time detection and classification of five primary emotions: anger, happiness, neutrality, sadness, and surprise. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  16. 16
    Stress Level Detection using Fuzzy Logic / Nor Husna Nabila Khuzaini

    Stress Level Detection using Fuzzy Logic / Nor Husna Nabila Khuzaini by Khuzaini, Nor Husna Nabila

    Published 2020
    “…The result indicate in stress level detection based on fuzzy logic system that provide the symptom of stress and the facial emotion. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  17. 17
    Development of Image-Based Emotion Recognition using Convolutional Neural Networks

    Development of Image-Based Emotion Recognition using Convolutional Neural Networks by Latif, Atiya, Gunawan, Teddy Surya, Kartiwi, Mira, Arifin, Fatchul, Mansor, Hasmah

    Published 2021
    “…One of the prominent applications is detecting emotion from an image, which can help an intelligent automatic response system respond appropriately based on the user’s emotion. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  18. 18
    Speech emotion verification system (SEVS) based on MFCC for real time applications

    Speech emotion verification system (SEVS) based on MFCC for real time applications by Kamaruddin, Norhaslinda, Abdul Rahman, Abdul Wahab

    Published 2008
    “…Experimental results show potential of using these techniques to detect and distinguish three basic emotions from speech for real-time applications based on features extracted using MFCC.…”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  19. 19
    An enhanced computational model based on social spider optimisation algorithm for EEG- based emotion recognition

    An enhanced computational model based on social spider optimisation algorithm for EEG- based emotion recognition by Al-Qammaz, Abdullah Yousef Awwad

    Published 2019
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  20. 20
    Algorithms for moderating effect of emotional value from a cross-media data fusion perspective: a case study of Chinese dating reality shows

    Algorithms for moderating effect of emotional value from a cross-media data fusion perspective: a case study of Chinese dating reality shows by Zhang, Shasha, Dong, Qiming, Yasin, Megat Al Imran, Fang, Ng Chwee

    Published 2026
    “…This research demonstrates a new algorithmic method of moderating emotional content within Chinese dating reality shows based on cross-media analysis, combining text, audio, video, and social media feedback. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: