Error Action Recognition on Playing The Erhu Musical Instrument Using Hybrid Classification Method with 3D-CNN and LSTM

Error Action Recognition on Playing The Erhu Musical Instrument Using Hybrid Classification Method with 3D-CNN and LSTM

Erhu is a stringed instrument originating from China. In playing this instrument, there are rules on how to position the player's body and hold the instrument correctly. Therefore, a system is needed that can detect every movement of the Erhu player. This study will discuss action recognition o...

Full description

Bibliographic Details
Main Authors: Aditya Permana, Timothy K. Shih, Aina Musdholifah, Anny Kartika Sari
Format: Article
Language:English
Published: Universitas Gadjah Mada 2023-07-01
Series:IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
Subjects:
action recognition, convolutional neural network, 3dcnn, lstm
Online Access:https://jurnal.ugm.ac.id/ijccs/article/view/76555

Internet

https://jurnal.ugm.ac.id/ijccs/article/view/76555

Similar Items