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.

Bibliografski detalji
Glavni autori:	Dewanjee, Tanmoy, Nuder, Azibun, Malek, Md. Imtiaz, Nanjiba, Refah, Rahman, Atia Anjum
Daljnji autori:	Alam, Md. Golam Rabiul
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2021
Teme:	BdSL Video Processing Machine Learning Sign Language Classiﬁcation OpenPose Deep Learning LSTM based RNN
Online pristup:	http://hdl.handle.net/10361/15758

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