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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Dewanjee, Tanmoy, Nuder, Azibun, Malek, Md. Imtiaz, Nanjiba, Refah, Rahman, Atia Anjum
مؤلفون آخرون: Alam, Md. Golam Rabiul
التنسيق: أطروحة
اللغة:English
منشور في: Brac University 2021
الموضوعات:
BdSL
Video Processing
Machine Learning
Sign Language
Classification
OpenPose
Deep Learning
LSTM based RNN
الوصول للمادة أونلاين:http://hdl.handle.net/10361/15758

الانترنت

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

مواد مشابهة