Methodology based on machine learning through neck motion and POF-based pressure sensors for wheelchair operation-Reference-Cited by-同舟云学术

Methodology based on machine learning through neck motion and POF-based pressure sensors for wheelchair operation

Published:2024-04 Issue: Volume:369 Page:115111
ISSN:0924-4247
Container-title:Sensors and Actuators A: Physical
language:en
Short-container-title:Sensors and Actuators A: Physical

Author:

Gonzalez-Cely A.X.,Blanco-Diaz Cristian Felipe,Delisle-Rodriguez D.,Diaz Camilo A.R.,Bastos-Filho T.F.,Krishnan S.

Funder

CAPES

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Alberta Heritage Foundation for Medical Research

Fundação de Amparo à Pesquisa e Inovação do Espírito Santo

Publisher

Elsevier BV

Reference45 articles.

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3. Optical fiber sensors for posture monitoring, ulcer detection and control in a wheelchair: a state-of-the-art;Gonza´lez-Cely;Disabil. Rehabil.: Assist. Technol.,2023

4. Designing of smart chair for monitoring of sitting posture using convolutional neural networks;Kim;Data Technol. Appl,2019

5. A portable sitting posture monitoring system based on a pressure sensor array and machine learning;Ran;Sens. Actuators A: Phys.,2021

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1. Classification algorithm for wheelchair operation in real conditions using POF-based pressure sensors;2024 IEEE Latin American Electron Devices Conference (LAEDC);2024-05-08