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.

Xehetasun bibliografikoak
Egile Nagusiak:	Murshed, Tahmin Aysha, Dastider, Prantar
Beste egile batzuk:	Chakrabarty, Amitabha
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2021
Gaiak:	Facial expression recognition Emotion detection CNN algorithm Machine learning Optical pattern recognition
Sarrera elektronikoa:	http://hdl.handle.net/10361/14727

Antzeko izenburuak

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

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

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

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

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

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

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

Human activity recognition and authentication system
nork: ALam, Md. Zubaer
Argitaratua: (2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Emotion detection from frontal facial image
nork: Hussain, Sakib
Argitaratua: (2014)

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

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

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

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

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

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

Pattern recognition and machine learning /
nork: Bishop, Christopher M.
Argitaratua: (2006)

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

Image recognition by deep learning
nork: Mohiuddin, Karishma, et al.
Argitaratua: (2018)

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

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

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

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

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