A low cost visual sensor for gesture recognition via AI CNNS

Hugh, Daniel and Buckley, N and Secco, Emanuele Lindo (2020) A low cost visual sensor for gesture recognition via AI CNNS. In: Intelligent Systems Conference (IntelliSys) 2020, 3-4 September, 2020, Amsterdam, The Netherlands. (Accepted for Publication)

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Abstract

One of the possible ways that prosthetics can become smarter is with the use of Artificial Intelligence (AI): this area in computer science is growing massively as the number of useful applications that stem of AI are endless
Here we propose an AI intelligent system that react and learn as humans combined with prosthetics: smart prosthetic can recognize (1) hand gesture and (2) daily life objects and react accordingly without the user having to interact with the device through biomedical signals

Item Type: Conference or Workshop Item (Poster)
Faculty / Department: Faculty of Science > Mathematics and Computer Science
Depositing User: Emanuele Secco
Date Deposited: 10 Feb 2020 10:21
Last Modified: 10 Feb 2020 10:21
URI: https://hira.hope.ac.uk/id/eprint/3016

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