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.

Dettagli Bibliografici
Autori principali:	Dewanjee, Tanmoy, Nuder, Azibun, Malek, Md. Imtiaz, Nanjiba, Refah, Rahman, Atia Anjum
Altri autori:	Alam, Md. Golam Rabiul
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2021
Soggetti:	BdSL Video Processing Machine Learning Sign Language Classiﬁcation OpenPose Deep Learning LSTM based RNN
Accesso online:	http://hdl.handle.net/10361/15758

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