A CNN-based Computer Vision Interface for Prosthetics’ application

Secco, Emanuele Lindo and McHugh, Daniel and Buckley, N (2021) A CNN-based Computer Vision Interface for Prosthetics’ application. In: 10th EAI International Conference on Wireless Mobile Communication and Healthcare, 13th-14th November, 2021, Chongqing, China. (Accepted for Publication)

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Abstract

In this paper we present a CNN-based Interface for the control of prosthetic and robotic hand: a CNN visual system is trained with a set of images of daily life object in order to classify and recognize them. Such a classification provides useful information for the configuration of prosthetic and robotic hand: following the training, in fact, a low cost embedded computer combined with a low cost camera on the device (i.e. a prosthetic or robotic hand) can drive the device in order to approach and grasp whatever object belong to the training set.

Item Type: Conference or Workshop Item (Paper)
Additional Information and Comments: This paper has been accepted for presentation at the 10th EAI International Conference on Wireless Mobile Communication and Healthcare, 2021.
Faculty / Department: Faculty of Science > Mathematics and Computer Science
Depositing User: Emanuele Secco
Date Deposited: 14 Oct 2021 12:22
Last Modified: 14 Nov 2021 01:15
URI: https://hira.hope.ac.uk/id/eprint/3389

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