Comparing classification techniques for identification of grasped objects.
Journal:
Biomedical engineering online
Published Date:
Mar 7, 2019
Abstract
BACKGROUND: This work presents a comparison and selection of different machine learning classification techniques applied in the identification of objects using data collected by an instrumented glove during a grasp process. The selected classifiers techniques can be applied to e-rehabilitation and e-training exercises for different pathologies, as in aphasic patients.