Research on generative sign language using neural networks

Research on generative sign language using neural networks

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliografiske detaljer
Main Authors:	Selim, Bushra Binte, Iqbal, Maliha, Shahriar, Asif, Faria, Fauzia, Mostafa, Rafid
Andre forfattere:	Mostakim, Moin
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2021
Fag:	Sign Language Generation Neural Network Neural Networks for Sign Language Generative Sign CNN Inceptionv3 Sign language.
Online adgang:	http://hdl.handle.net/10361/14969

Lignende værker

Image translation of Bangla and English sign language to written language using convolutional neural network
af: Bismoy, Muttaki Islam, et al.
Udgivet: (2022)

Gesture based implementation on neural network: Bengali sign language to text conversion
af: Hasan, S.M. Farzana, et al.
Udgivet: (2018)

Two dimensional convolutional neural network CNN approach for detection of Bangla sign language
af: Nag, Pollock, et al.
Udgivet: (2023)

Sign Languages
af: Edited by Diane Brentari
Udgivet: (2012)

Bangla sign language recognition and sentence building using deep learning
af: Shurid, Safayet Anowar, et al.
Udgivet: (2021)

Bangla sign language interpretation using image processing
af: Arko, Fahmid Nasif, et al.
Udgivet: (2017)

Deaf around the world

Sign language conversion and training by machine learning with an IOT approach
af: Nazib, Rezoan Ahmed, et al.
Udgivet: (2018)

Traffic sign recognition using deep learning
af: Amir, Afia Binte, et al.
Udgivet: (2020)

A smart avatar tutor for mimicking characters of Bangla sign language
af: Islam, Apu, et al.
Udgivet: (2024)

Tri-modal ensemble for enhanced Bangla sign language recognition
af: Shams, Khan Abrar, et al.
Udgivet: (2024)

Night mode prohibitory traffic signs detection
af: Biswas, Rubel, et al.
Udgivet: (2017)

An efficient interpretation model for people with hearing and speaking disabilities
af: Sayeed, M. M. Mahmud, et al.
Udgivet: (2017)

Bengali hand sign language recognition using convolutional neural networks
af: Rumi, Roisul Islam, et al.
Udgivet: (2019)

Computer vision-based Bengali sign language to text generation
af: Tazalli, Tonjih, et al.
Udgivet: (2022)

Speed limit traffic sign recognition in night mode based on deformable spatial pyramid
af: Pinku, Subroto Nag
Udgivet: (2016)

A novel lightweight CNN approach for Bangladeshi sign language gesture recognition
af: Rahman, Aryan, et al.
Udgivet: (2023)

Basic bangla sign language recognition and sentence building using Microsoft Kinect
af: Ahmed, Khan Rafin, et al.
Udgivet: (2018)

Husband’s involvement with mother’s awareness and knowledge of newborn danger signs in facility-based childbirth settings: A cross-sectional study from rural Bangladesh
af: Zaman, Sojib Bin, et al.
Udgivet: (2022)

LVQ and HOG based speed limit traffic signs detection and categorization
af: Biswas, Rubel, et al.
Udgivet: (2017)

Detection and classification of speed limit traffic signs
af: Biswas, Rubel, et al.
Udgivet: (2017)

Agent, person, subject, self
af: Kockelman, Paul

Sign language detection and conversion to readable Bengali words using BdSL
af: Dhrubo, Tahsinul Haque, et al.
Udgivet: (2024)

Bangla sign language recognition using leap motion sensor
af: Tan, Tamkin Mahmud, et al.
Udgivet: (2020)

Blockchain-based traffic surveillance footage authenticity detection system
af: Bin Moshiur, Tasnimul, et al.
Udgivet: (2023)

Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN
af: Dewanjee, Tanmoy, et al.
Udgivet: (2021)

Pedestrian crossing guide based on Android-Cloud platform for blind people
af: Hasan, Anik, et al.
Udgivet: (2014)

Road sign detection and translation in Bangla using image processing and machine learning
af: Islam, Khalid Amirul, et al.
Udgivet: (2019)

Integrating ARI prevention with micro credit programme: experience of BRAC, Bangladesh
af: Hadi, Abdullahel
Udgivet: (2019)

Automatic question & answer generation using generative Large Language Model (LLM)
af: Hasan, A.S.M Mehedi, et al.
Udgivet: (2024)

Image generation from freehand sketches using Diffusion Models
af: Tanvir, Farhan, et al.
Udgivet: (2024)

The importance of generation z work culture and its effects on employee retention
af: Hamid, Sadman Ishraq
Udgivet: (2024)

Electrical system for generator
af: WOHA Designs PTE LTD, et al.
Udgivet: (2023)

Pneumonia Disease detection using the convolutional neural network
af: Ashrafee, Md. Iftid, et al.
Udgivet: (2024)

City solid waste generation doubles in 10 years: BRAC University study reveals
af: The Financial Express
Udgivet: (2016)

Hate speech detection from social networking posts using CNN and XGBoost
af: Shahadat, Ashraf Bin, et al.
Udgivet: (2020)

A color vision approach considering weather conditions based on auto encoder techniques using deep neural networks
af: Raj, Mohammad Mainuddin, et al.
Udgivet: (2021)

Quantum transport in nanostructured thermoelectric generator
af: Hossain, Mohammad Mobassar, et al.
Udgivet: (2016)

Diabetic retinopathy detection and classification by using deep learning
af: Hossain, Shahriar, et al.
Udgivet: (2022)

Understanding generation Z: what working conditions are the most important motivating factors for generation Z in Bangladesh
af: Himi, Taki Nawer
Udgivet: (2021)