A low cost visual sensor for gesture recognition via AI CNNS

Daniel Hugh, Noel J. Buckley, Emanuele Lindo Secco · Hope's Institutional Research Archive (Liverpool Hope University) · 2020

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

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