Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
Главные авторы: | Dewanjee, Tanmoy, Nuder, Azibun, Malek, Md. Imtiaz, Nanjiba, Refah, Rahman, Atia Anjum |
---|---|
Другие авторы: | Alam, Md. Golam Rabiul |
Формат: | Диссертация |
Язык: | English |
Опубликовано: |
Brac University
2021
|
Предметы: | |
Online-ссылка: | http://hdl.handle.net/10361/15758 |
Схожие документы
-
A novel lightweight CNN approach for Bangladeshi sign language gesture recognition
по: Rahman, Aryan, и др.
Опубликовано: (2023) -
Voice impersonation detection using LSTM based RNN and explainable AI
по: Barua, Kawshik, и др.
Опубликовано: (2022) -
RED-LSTM: Real time emotion detection using LSTM
по: Labiba, Mansura Rahman, и др.
Опубликовано: (2023) -
Stock Market Price movement prediction using RNN and Point-weight Sentiment
по: Uddin, S. M. Rageeb Noor, и др.
Опубликовано: (2022) -
Traffic sign recognition using deep learning
по: Amir, Afia Binte, и др.
Опубликовано: (2020)