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A Flexible and Modular Body-Machine Interface for Individuals Living with Severe Disabilities

Autor: Fall, Cheikh Latyr, Côté-Allard, Ulysse, Mascret, Quentin, Campeau-Lecours, Alexandre, Boukadoum, Mounir, Gosselin, Clément, Gosselin, Benoit

This paper presents a control interface to translate the residual body motions of individuals living with severe disabilities, into control commands for body-machine interaction. A custom, wireless, wearable multi-sensor network is used to collect mo

Externí odkaz: http://arxiv.org/abs/2007.15032

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Akademický článek

Spillover, hybridization, and persistence in schistosome transmission dynamics at the human–animal interface

Autor: Borlase, Anna, Rudge, James W., Léger, Elsa, Diouf, Nicolas D., Fall, Cheikh B., Diop, Samba D., Catalano, Stefano, Sène, Mariama, Webster, Joanne P.

Publikováno v: Proceedings of the National Academy of Sciences of the United States of America, 2021 Oct 01. 118(41), 1-11.

Externí odkaz: https://www.jstor.org/stable/27093426

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Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

Autor: Côté-Allard, Ulysse, Fall, Cheikh Latyr, Drouin, Alexandre, Campeau-Lecours, Alexandre, Gosselin, Clément, Glette, Kyrre, Laviolette, François, Gosselin, Benoit

In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn discriminant features from large amounts of data. However, within the field of electromyography-based gesture reco

Externí odkaz: http://arxiv.org/abs/1801.07756

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