Study on human emotion based on facial expressions through human machine communication

Study on human emotion based on facial expressions through human machine communication

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Bibliografiske detaljer
Main Authors:	Murshed, Tahmin Aysha, Dastider, Prantar
Andre forfattere:	Chakrabarty, Amitabha
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2021
Fag:	Facial expression recognition Emotion detection CNN algorithm Machine learning Optical pattern recognition
Online adgang:	http://hdl.handle.net/10361/14727

Lignende værker

Accurate analysis of mood detection using eye-images rather than facial expression recognition (FER)
af: Hossain, Arafat, et al.
Udgivet: (2023)

Behavior change analysis due to violent video gaming using deep learning models
af: Rahman, Akhlak Ur, et al.
Udgivet: (2024)

Emotion recognition from facial expression of autism spectrum disordered children using image processing and machine learning algorithms
af: Tasnim, Nishat, et al.
Udgivet: (2019)

An efficient facial expression recognition method using mean And standard deviation
af: Laboni, Pragna, et al.
Udgivet: (2017)

Phase Transitions in Machine Learning
af: Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols
Udgivet: (2012)

Real time dynamic facial recognition of subject at motion using angular image
af: Tasneem, Sharah, et al.
Udgivet: (2024)

Understanding machine learning : from theory to algorithms /
af: Shalev-Shwartz, Shai
Udgivet: (2014)

Human activity recognition and authentication system
af: ALam, Md. Zubaer
Udgivet: (2024)

A twin prediction method using facial recognition feature
af: Nafees, Masnoon, et al.
Udgivet: (2017)

Scaling Up Machine Learning
af: Edited by Ron Bekkerman, Mikhail Bilenko, John Langford
Udgivet: (2012)

Facial recognition using dynamic image processing
af: Haque, Md. Asiful, et al.
Udgivet: (2017)

Performance analysis of different machine learning approaches for single modal facial expression detection
af: Zinia, Surovi, et al.
Udgivet: (2018)

Prediction of human activity using machine learning
af: Tisha, Sadia Nasrin, et al.
Udgivet: (2020)

Comparative analysis between Inception-v3 and other learning systems using facial expressions detection
af: Nivrito, AKM, et al.
Udgivet: (2016)

Facial expression recognition: convolutional attentional masking network and ensemble approach
af: Kowsar, Ibna, et al.
Udgivet: (2021)

Supervising vehicle using pattern recognition
af: Lushan, Mihodi Hasan, et al.
Udgivet: (2018)

Multimodal approach to human detection in unconstrained environments using YOLOV7 for conventional, infrared & thermal cameras
af: Rukaiya, Maymuna, et al.
Udgivet: (2023)

MEDNET – an approach to facial micro-emotion recognition using pixel binning and local Binary pattern - convolutional neural network
af: Araf, Tashreef Abdullah
Udgivet: (2024)

Facial recognition using empirical mode decomposition, Multi-linear principal component analysis and post-processing using expectation maximization algorithm
af: Chowdhury, Mabrur Mujib
Udgivet: (2014)

Emotion recognition using brian signals based on time-frequency analysis and supervised learning algorithm
af: Hossain, Prommy Sultana Ferdawoos, et al.
Udgivet: (2018)

A deep learning approach to integrate human-level understanding in a Chatbot
af: Al Mamun, Amirul Islam, et al.
Udgivet: (2021)

Automatic attendance system using facial recognition
af: Sikdar, Tushar, et al.
Udgivet: (2022)

Use of gestures and facial expression in language acquisition
af: Fyrooz Binte Mohsin
Udgivet: (2016)

RED-LSTM: Real time emotion detection using LSTM
af: Labiba, Mansura Rahman, et al.
Udgivet: (2023)

Human Activity Recognition using wearable body sensor by machine learning approach
af: Promi, Sadia Tangim, et al.
Udgivet: (2020)

Emotion detection from frontal facial image
af: Hussain, Sakib
Udgivet: (2014)

Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
af: Hossain, Prommy Sultana
Udgivet: (2022)

Comparative analysis of emotion recognition methods
af: Zaman, Mustafa, et al.
Udgivet: (2010)

Multimodal emotion recognition from Speech and text using heterogeneous ensemble techniques
af: Rafidul Islam, Sheikh Md, et al.
Udgivet: (2022)

Emotion recognition using EEG signal and deep learning approach
af: Islam, Sayedi Hassan Bin, et al.
Udgivet: (2019)

A hybrid approach to determine patients critical situation using expression & posture with convolutional neural network & Blazepose algorithm
af: Islam, Abrar, et al.
Udgivet: (2024)

Recognising license plate from image data using deep learning
af: Golder, Rupam, et al.
Udgivet: (2023)

Pattern recognition and machine learning /
af: Bishop, Christopher M.
Udgivet: (2006)

Handwritten Bangla character recognition to braille pattern conversion using image processing and machine learning
af: Abir, Tawhidur Rahman, et al.
Udgivet: (2019)

Image recognition by deep learning
af: Mohiuddin, Karishma, et al.
Udgivet: (2018)

TinyML for emotion detection in voice signals: evaluating and proposing algorithms for IoT wearable devices
af: Ahmed, Hasibul Hasan, et al.
Udgivet: (2024)

Voice recognition using machine learning and central database to enhance security system
af: Nur, Mir Md. Taosif, et al.
Udgivet: (2022)

Verifying online signatures through an iterative device independent model
af: Tahsin, Samiha, et al.
Udgivet: (2024)

Shield key: a deep learning process for the generation of public & private keys using hybrid architecture in blockchain
af: Joy, Tanvir Ahmed, et al.
Udgivet: (2021)

Categorization of human monkey-pox from skin lesion images based on transformer and ensemble learning using GRADCAM
af: Hassan, Ibne, et al.
Udgivet: (2023)