Search Results - (( emotion detection a algorithm ) OR ( panel optimization isotherm algorithm ))*
Search alternatives:
- optimization isotherm »
- panel optimization »
- detection a »
- a algorithm »
- emotion »
-
1
Real-time system for facial emotion detection using GPSO algorithm
Published 2012Get full text
Working Paper -
2
Facial emotion detection using GPSO and Lucas-Kanade algorithms
Published 2010Get full text
Working Paper -
3
Particle Swarm Optimization algorithm for facial emotion detection
Published 2010Get full text
Working Paper -
4
Emotion Detection Based on EEG Signal
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 -
5
Human Spontaneous Emotion Detection System
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.…”
Get full text
Get full text
Get full text
Get full text
Thesis -
6
Facial emotion detection using Guided Particle Swarm Optimization (GPSO)
Published 2009Get full text
Working Paper -
7
-
8
-
9
-
10
-
11
-
12
Beyond Sentiment Analysis: A Review of Recent Trends in Text Based Sentiment Analysis and Emotion Detection
Published 2023“…So besides writer sentiments, writer emotion is also a valuable data. Emotion detection can be done using text, facial expressions, verbal communications and brain waves; however, the focus of this review is on text-based sentiment analysis and emotion detection. …”
Get full text
Get full text
Get full text
Get full text
Article -
13
-
14
Effective EEG channels for emotion identification over the brain regions using differential evolution algorithm
Published 2019“…Furthermore, the right and left occipital channels may help in identifying happiness, sadness, surprise and neutral emotional states. The DEFS_Ch algorithm raised the linear discriminant analysis (LDA) classification accuracy from 80% to 86.85%, indicating that DEFS_Ch may offer a useful way for reliable enhancement of the detection of different emotional states of the brain regions.…”
Get full text
Get full text
Conference or Workshop Item -
15
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. …”
Get full text
Get full text
Get full text
Get full text
Article -
16
Detecting emotions and depression through voice
Published 2021“…A deep learning algorithm can detect emotion, including depression, using a voice signal. …”
Get full text
Get full text
Article -
17
-
18
Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool
Published 2018“…The objectives of this research are to classify the user emotion characteristics by using EEG signals based on children’s behaviour, to develop a prototype of an emotion prediction system named as MYEmotion and to validate the developed prototype in predicting the positive and negative emotions of the children. 16 datasets of attention and meditation levels were collected from a qualitative sampling of 10 years old school children in Pekan, Pahang using a BCI headset tool. …”
Get full text
Get full text
Thesis -
19
Stress Level Detection using Fuzzy Logic / Nor Husna Nabila Khuzaini
Published 2020“…This enhancement is in particular relative in emotional memory. Stress become a serious issues nowadays. …”
Get full text
Get full text
Thesis -
20
Multichannel optimization with hybrid spectral- entropy markers for gender identification enhancement of emotional-based EEGs
Published 2021“…The electroencephalogram (EEG) is a tool that potentially can be used to detect gender differences. …”
Get full text
Get full text
Article