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.

Detalles Bibliográficos
Main Authors: Dewanjee, Tanmoy, Nuder, Azibun, Malek, Md. Imtiaz, Nanjiba, Refah, Rahman, Atia Anjum
Outros autores: Alam, Md. Golam Rabiul
Formato: Thesis
Idioma:English
Publicado: Brac University 2021
Subjects:
BdSL
Video Processing
Machine Learning
Sign Language
Classification
OpenPose
Deep Learning
LSTM based RNN
Acceso en liña:http://hdl.handle.net/10361/15758

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