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.

Podrobná bibliografie
Hlavní autoři:	Dewanjee, Tanmoy, Nuder, Azibun, Malek, Md. Imtiaz, Nanjiba, Refah, Rahman, Atia Anjum
Další autoři:	Alam, Md. Golam Rabiul
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2021
Témata:	BdSL Video Processing Machine Learning Sign Language Classiﬁcation OpenPose Deep Learning LSTM based RNN
On-line přístup:	http://hdl.handle.net/10361/15758

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