Home /Research /An efficient attention-driven deep neural network approach for continuous estimation of knee joint kinematics via sEMG signals during running
LEARNING

An efficient attention-driven deep neural network approach for continuous estimation of knee joint kinematics via sEMG signals during running

Alireza Rezaie Zangene, Oluwarotimi Williams Samuel, Ali Abbasi, Alistair A. McEwan, Mojisola Grace Asogbon, Guanglin Li, Kianoush Nazarpour

Year
2023
Citations
11

Keywords

Computer scienceKinematicsArtificial intelligenceArtificial neural networkGeneralizability theoryPattern recognition (psychology)PerceptronJoint (building)Mean squared errorMultilayer perceptron

Related papers

Browse all LEARNING papers