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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Dewanjee, Tanmoy, Nuder, Azibun, Malek, Md. Imtiaz, Nanjiba, Refah, Rahman, Atia Anjum
Άλλοι συγγραφείς:	Alam, Md. Golam Rabiul
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2021
Θέματα:	BdSL Video Processing Machine Learning Sign Language Classiﬁcation OpenPose Deep Learning LSTM based RNN
Διαθέσιμο Online:	http://hdl.handle.net/10361/15758

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