Influence of Input Features and EMG Type on Ankle Joint Torque Prediction With Support Vector Regression

Influence of Input Features and EMG Type on Ankle Joint Torque Prediction With Support Vector Regression

Reliable and accurate EMG-driven prediction of joint torques are instrumental in the control of wearable robotic systems. This study investigates how different EMG input features affect the machine learning algorithm-based prediction of ankle joint torque in isometric and dynamic conditions. High-de...

Full description

Bibliographic Details
Main Authors: Asta Kizyte, Yuchen Lei, Ruoli Wang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Dynamic contraction
electromyography
joint torque
machine learning
support vector regression
Online Access:https://ieeexplore.ieee.org/document/10275018/

Internet

https://ieeexplore.ieee.org/document/10275018/

Similar Items