Dissertation/Thesis Abstract

Improving Motor Skills of a Smart Prosthetic Hand by Deep Learning
by Christian, Matthew, M.S., Tennessee State University, 2018, 56; 10979821
Abstract (Summary)

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.

Indexing (document details)
Advisor: Erdemir, Erdem
Commitee: Rogers, Tamara, Sekmen, Ali
School: Tennessee State University
Department: Computer Science
School Location: United States -- Tennessee
Source: MAI 58/04M(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Robotics, Computer science
Keywords: Convolutional neural network, Deep learning, Prosthetic
Publication Number: 10979821
ISBN: 978-0-438-84261-8
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