Improving Motor Skills of a Smart Prosthetic Hand by Deep Learning

Matthew Christian, Tennessee State University

Abstract

Medical science has made it possible to use prosthetic devices to restore the basic abilities needed to function in everyday life. Although robotic prosthetic hands can improve mobility over a simple hook prosthetic, the current state-of-the-art devices are still limited in their ability to grasp and hold objects as quickly and as accurately as the natural human hand. This project trains a deep learning neural network to control a robotic prosthetic hand in performing a grasping task.^

Subject Area

Robotics|Computer science

Recommended Citation

Matthew Christian, "Improving Motor Skills of a Smart Prosthetic Hand by Deep Learning" (2018). ETD Collection for Tennessee State University. Paper AAI10979821.
https://digitalscholarship.tnstate.edu/dissertations/AAI10979821

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