SVM-based real-time classification of prosthetic fingers using myo armband-acquired electromyography data
In this work we applied real-time classification of prosthetic fingers movements using surface
electromyography (sEMG) data. We employed support vector machine (SVM) for …
electromyography (sEMG) data. We employed support vector machine (SVM) for …
Optimal strategy of sEMG feature and measurement position for grasp force estimation
Grasp force estimation based on surface electromyography (sEMG) is essential for the
dexterous control of a prosthetic hand. Nowadays, although increasing the number of sEMG …
dexterous control of a prosthetic hand. Nowadays, although increasing the number of sEMG …
sEMG Feature Optimization Strategy for Finger Grip Force Estimation
C Wu, Q Cao, F Fei, D Yang, B Xu, H Zeng… - Intelligent Robotics and …, 2020 - Springer
Finger Grip force estimation based on sEMG plays an important role in dexterous control of a
prosthetic hand. In order to obtain higher estimation accuracy, one of the commonly used …
prosthetic hand. In order to obtain higher estimation accuracy, one of the commonly used …