Search Results - (( emotion detection techniques ) OR ( evolution computing techniques ))
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Multi-tier classification based on sentiment, type, emotion and purpose for online diabetes community / 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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Human Emotion Detection Through Hybrid Approach
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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The development of biofeedback photoplethysmograph (electrocardiograph) detection device and simulation application to detect and simulate emotional performance (PERKASA 1)
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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A HYBRID APPROACH IN ACHIEVING ACCURACY AND ROBUSTNESS FOR BIMODAL EMOTION DETECTION THROUGH SPEECH AND FACIAL EXPRESSIONS
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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A Systematic Literature Review on Enhancing Sarcasm Detection in Online Reviews through Emotional Transition Analysis and Contextual Embedding Techniques
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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Human emotion detection through speech and facial expressions
Published 2016“…It was observed that the performance of the bimodal emotion detection system is low than the unimodal emotion detection system through deliberate facial expressions. …”
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Conference or Workshop Item -
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Emotion recognition and brain mapping for sentiment analysis: a review
Published 2018“…The wide areas of CL research, actually considerable for investigating the emotion dimension detection and searching the approaches and techniques in the term of emotion recognition (ER). …”
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Proceeding Paper -
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Thermal imaging-based human emotion detection: GLCM feature extraction approach
Published 2015“…In this paper, we presented an efficient method for thermal image feature extraction using the Gray Level Co-occurrence Matrix (GLCM) technique. By analysing the heat pattern on the facial skin, this work attempt to investigate the suitability of the thermal imaging technique for affect detection. …”
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Feature extraction of speech signal and heartbeat detection in angry emotion identification
Published 2013“…This paper detects the angry emotion by analyzing and recognizing angry speech signal as well as detecting the heartbeat condition. …”
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A GAME-BASED ACTIVITY TO DETECT IMPAIRED EMOTION RECOGNITION FOR POST STROKE PATIENTS
Published 2020“…This paper will introduce a new implementation of existing Virtual Reality technology that aims to help for early detection of impaired emotion recognition skills of post-stroke patients. …”
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Final Year Project -
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Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization
Published 2013“…For each proposed soft computing technique, parameter tuning is done as an essential study. …”
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CMAC for speech emotion profiling
Published 2009“…Result from the speech emotion profiling shows potential of such technique to visualize hidden features for detecting intra-cultural and inter-cultural variation that is missing from current approach of speech emotion recognition…”
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Proceeding Paper -
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Implementation of GLCM features in thermal imaging for human affective state detection
Published 2015“…In this paper, we present an efficient method for thermal image feature extractions using the Gray Level Co-occurrence Matrix (GLCM) technique. This work attempts to investigate the suitability and sensitivity of the thermal imaging technique for affect detection by analysingthe heat pattern on the facial skin. …”
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Proceeding Paper -
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Detection of Emotional Sensitivity Using fNIRS Based Dynamic Functional Connectivity
Published 2021“…In this study, we proposed an analytical framework to identify dynamic task-based functional connectivity (FC) features as new biomarkers of emotional sensitivity in nursing students, by using a combination of unsupervised and supervised machine learning techniques. …”
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Facial expression recognition for human-computer interaction
Published 2025“…Furthermore, the system delivers real-time feedback and personalized guidance based on the detected emotions, fostering more empathetic and patient-centered care. …”
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Final Year Project / Dissertation / Thesis -
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Emotion detection from thermal facial imprint based on GLCM features
Published 2016“…In this paper, we presented an efficient method for thermal image feature extraction using the Gray Level Co-occurrence Matrix (GLCM) technique. By analysing the heat pattern on the facial skin, this work attempts to investigate the suitability of the thermal imaging technique for affect detection. …”
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Differential evolution technique of HEPWM for three-phase voltage source inverter
Published 2016“…This paper presents the execution of Differential Evolution (DE) algorithm in order to understand the principle operation of Harmonic Elimination Pulse-Width Modulation (HEPWM) switching technique. …”
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Harmonic Elimination Pulse Width Modulation Using Differential Evolution Technique For Three Phase Voltage Source Inverter
Published 2018“…Differential Evolution (DE) has been gaining popularity among researchers as an effective yet simple evolutionary algorithm to solve the optimization problems. …”
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Thesis -
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Enhanced emotion recognition in videos: a convolutional neural network strategy for human facial expression detection and classification
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. …”
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