Deep learning-based artificial vision for grasp classification in myoelectric hands.
Journal:
Journal of neural engineering
Published Date:
May 3, 2017
Abstract
OBJECTIVE: Computer vision-based assistive technology solutions can revolutionise the quality of care for people with sensorimotor disorders. The goal of this work was to enable trans-radial amputees to use a simple, yet efficient, computer vision system to grasp and move common household objects with a two-channel myoelectric prosthetic hand.