Using Deep Learning and Mobile Offloading to Control a 3D-printed Prosthetic Hand

Volume: 3, Issue: 3, Pages: 1 - 19
Published: Sep 9, 2019
Abstract
Although many children are born with congenital limb malformation, contemporary functional artificial hands are costly and are not meant to be adapted to growing hand. In this work, we develop a low cost, adaptable and personalizable system of an artificial prosthetic hand accompanied with hardware and software modules. Our solution consists of (i) a consumer grade electromyography (EMG) recording hardware, (ii) a mobile companion device...
Paper Details
Title
Using Deep Learning and Mobile Offloading to Control a 3D-printed Prosthetic Hand
Published Date
Sep 9, 2019
Volume
3
Issue
3
Pages
1 - 19
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