Search Results - (( (emotion OR motion) detection techniques ) OR ( evolution computing techniques ))

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  1. 1
    Multi-tier classification based on sentiment, type, emotion and purpose for online diabetes community / Wandeep Kaur Ratan Singh

    Multi-tier classification based on sentiment, type, emotion and purpose for online diabetes community / Wandeep Kaur Ratan Singh by Wandeep Kaur , Ratan Singh

    Published 2020
    “…A similarity check between annotated corpus and Emolex determined the dominant emotion and thus classified post accordingly. This improved the classification process from detecting multiple emotion per post to classifying the most dominant emotion extracted from post. …”
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  2. 2
    A framework for correcting human motion alignment for traditional dance training using augmented reality

    A framework for correcting human motion alignment for traditional dance training using augmented reality by Iqbal, Javid, Sidhu, Manjit Singh

    Published 2016
    “…The proposed technology utilizes motion detection, emotion analysis, coordination analysis and interactive feedback techniques for a particular dance style selected by the trainee.This motion capture system solves the heterogeneity of the existing dance learning system and hence provides robustness. …”
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  3. 3
    Video Object Avoidance Implementation on Embedded Platform

    Video Object Avoidance Implementation on Embedded Platform by Keat, Yeong Ming

    Published 2015
    “…In this project, there are two motion detection techniques being studied, namely optical flow and motion templates. …”
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    Final Year Project
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  4. 4
    Human Emotion Detection Through Hybrid Approach

    Human Emotion Detection Through Hybrid Approach by Kudiri, K.M., Alhussian, H.S.A.

    Published 2022
    “…Moreover, emotion detection, through speech and facial expressions by conventional techniques seem to hamper emotion detection accuracy and robustness in the real-world environment. …”
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  5. 5
    MOTION ESTIMATION IN BRAIN TOPOGRAPHIC MAPS

    MOTION ESTIMATION IN BRAIN TOPOGRAPHIC MAPS by GOPALAKRISHNAN, GOWRI

    Published 2011
    “…Currently, no proper motion estimation technology is available for this purpose. …”
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    Final Year Project
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  6. 6
    Motion detection for PC based security system by using optical flow

    Motion detection for PC based security system by using optical flow by Nur Nabilah, Mohamad Hamid

    Published 2010
    “…Horn-Schunck method is one of optical flow method which is a method or technique to detect the motion in an image sequence. …”
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    Undergraduates Project Papers
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  7. 7
    A Review on Human Motion Detection Techniques for ATM-CCTV Surveillance System

    A Review on Human Motion Detection Techniques for ATM-CCTV Surveillance System by Tasriva, Sikandar, Kamarul Hawari, Ghazali

    Published 2016
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  8. 8
    Motion capture security system using Raspberry Pi

    Motion capture security system using Raspberry Pi by Shaira Amira, Mohd Salleh

    Published 2015
    “…Motion detection is known as a feature that allows the camera to detect any movement in front of it and the image of the detected motion is sent to the user. …”
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    Final Year Project Report / IMRAD
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  9. 9
    Motion detection using Horn-Schunck optical flow

    Motion detection using Horn-Schunck optical flow by Wan Nur Azhani, W. Samsudin, Kamarul Hawari, Ghazali

    Published 2012
    “…By performing some appropriate feature extraction techniques, this system allows us to achieve better results in detecting motion and determining the velocity of that motion in order to analyze the human behaviour based on its velocities. …”
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  10. 10
    The development of biofeedback photoplethysmograph (electrocardiograph) detection device and simulation application to detect and simulate emotional performance (PERKASA 1)

    The development of biofeedback photoplethysmograph (electrocardiograph) detection device and simulation application to detect and simulate emotional performance (PERKASA 1) by Abdul Wahab, Muhammad Nubli, Ahmad, Noraziah, Abdalla, Ahmad N

    Published 2011
    “…The result from the hardware and software, of this study has successfully detect the status of individual emotion either in low, mid and high coherence. …”
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    Research Report
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  11. 11
    Cumulative frame differencing for urban vehicle detection

    Cumulative frame differencing for urban vehicle detection by Al-Smadi, M, Abdulrahim, K, Salam, RA

    Published 2024
    “…Motion segmentation is a fundamental step for vehicle detection especially in urban traffic surveillance systems. …”
    Proceedings Paper
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  12. 12
    A HYBRID APPROACH IN ACHIEVING ACCURACY AND ROBUSTNESS FOR BIMODAL EMOTION DETECTION THROUGH SPEECH AND FACIAL EXPRESSIONS

    A HYBRID APPROACH IN ACHIEVING ACCURACY AND ROBUSTNESS FOR BIMODAL EMOTION DETECTION THROUGH SPEECH AND FACIAL EXPRESSIONS by KRISHNA , MOHAN KUDIRI

    Published 2019
    “…Moreover, emotion detection, through speech and facial expressions by conventional techniques seem to hamper emotion detection accuracy and robustness in the realworld environment.…”
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  13. 13
    Background subtraction challenges in motion detection using Gaussian mixture model: a survey

    Background subtraction challenges in motion detection using Gaussian mixture model: a survey by Mohd Aris, Nor Afiqah, Jamaian, Siti Suhana

    Published 2023
    “…Motion detection is becoming prominent for computer vision applications. …”
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  14. 14
    A Systematic Literature Review on Enhancing Sarcasm Detection in Online Reviews through Emotional Transition Analysis and Contextual Embedding Techniques

    A Systematic Literature Review on Enhancing Sarcasm Detection in Online Reviews through Emotional Transition Analysis and Contextual Embedding Techniques by Stephen Olamilekan, Adedigba, Mohamad Hardyman, Barawi, Ebuka, Ibeke, Norazuna, Norahim

    Published 2025
    “…In this systematic literature review (SLR), we addressed the challenging task of sarcasm detection in online reviews, focusing on two key aspects: emotional transitions within reviews and the capabilities of contextual embedding techniques. …”
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  15. 15
    3D motion analysis system for analyzing recurve archery technique: a pilot study

    3D motion analysis system for analyzing recurve archery technique: a pilot study by Aziz, Puteri Salamah Abdul

    “…Wilcoxon signed rank test was used to detect the difference between elite’s technique and suggested technique based on 3D motion analysis data. …”
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    Monograph
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  16. 16
    A new spatio-temporal background–foreground bimodal for motion segmentation and detection in urban traffic scenes

    A new spatio-temporal background–foreground bimodal for motion segmentation and detection in urban traffic scenes by Al-Smadi M., Seman K., Salam R.A., Khairi Abdul Rahim

    Published 2024
    journal::journal article
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  17. 17
    Quantitative detection of left ventricular wall motion abnormality by two-dimensional echocardiography

    Quantitative detection of left ventricular wall motion abnormality by two-dimensional echocardiography by Hussein, Zinah Rajab, O. K. Rahmat, Rahmita Wirza, Abdullah, Lili Nurliyana, Saripan, M. Iqbal, Dimon, Mohd Zamrin

    Published 2010
    “…Echocardiography is a widely used imaging technique to examine various cardiac functions, especially to detect the left ventricular wall motion abnormality. …”
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  18. 18
    A New Motion Segmentation Technique using Foreground-Background Bimodal

    A New Motion Segmentation Technique using Foreground-Background Bimodal by Ma’moun Al-Smadi, Khairi Abdul Rahim, Rosalina Abdul Salam

    Published 2024
    Article
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  19. 19
    Cumulative frame differencing for urban vehicle detection

    Cumulative frame differencing for urban vehicle detection by Al-Smadi M., Abdul Salam R., Khairi Abdul Rahim

    Published 2024
    Article
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  20. 20
    Background subtraction challenges in motion detection using Gaussian mixture model: a survey

    Background subtraction challenges in motion detection using Gaussian mixture model: a survey by Mohd Aris, Nor Afiqah, Jamaian, Siti Suhana

    Published 2023
    “…Motion detection is becoming prominent for computer vision applications. …”
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