Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN

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.

Detalhes bibliográficos
Principais autores: Dewanjee, Tanmoy, Nuder, Azibun, Malek, Md. Imtiaz, Nanjiba, Refah, Rahman, Atia Anjum
Outros Autores: Alam, Md. Golam Rabiul
Formato: Tese
Idioma:English
Publicado em: Brac University 2021
Assuntos:
BdSL
Video Processing
Machine Learning
Sign Language
Classification
OpenPose
Deep Learning
LSTM based RNN
Acesso em linha:http://hdl.handle.net/10361/15758

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