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
Autores principales: Dewanjee, Tanmoy, Nuder, Azibun, Malek, Md. Imtiaz, Nanjiba, Refah, Rahman, Atia Anjum
Otros Autores: Alam, Md. Golam Rabiul
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2021
Materias:
BdSL
Video Processing
Machine Learning
Sign Language
Classification
OpenPose
Deep Learning
LSTM based RNN
Acceso en línea:http://hdl.handle.net/10361/15758

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