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.

Bibliographische Detailangaben
Hauptverfasser: Dewanjee, Tanmoy, Nuder, Azibun, Malek, Md. Imtiaz, Nanjiba, Refah, Rahman, Atia Anjum
Weitere Verfasser: Alam, Md. Golam Rabiul
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2021
Schlagworte:
BdSL
Video Processing
Machine Learning
Sign Language
Classification
OpenPose
Deep Learning
LSTM based RNN
Online Zugang:http://hdl.handle.net/10361/15758

Online

http://hdl.handle.net/10361/15758

Ähnliche Einträge