Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis.

ABSTRACT:

Background

Hand amputation can have a truly debilitating impact on the life of the affected person. A multifunctional myoelectric prosthesis controlled using pattern classification can be used to restore some of the lost motor abilities. However, learning to control an advanced prosthesis can be a challenging task, but virtual and augmented reality (AR) provide means to create an engaging and motivating training.

Methods

In this study, we present a novel training framework that integrates virtual elements within a real scene (AR) while allowing the view from the first-person perspective. The framework was evaluated in 13 able-bodied subjects and a limb-deficient person divided into intervention (IG) and control (CG) groups. The IG received training by performing simulated cl

SUBMITTER: Boschmann A 

PROVIDER: S-EPMC7860185 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature