Cargando…
A Wearable Mobile Sensor Platform to Assist Fruit Grading
Wearable computing is a form of ubiquitous computing that offers flexible and useful tools for users. Specifically, glove-based systems have been used in the last 30 years in a variety of applications, but mostly focusing on sensing people's attributes, such as finger bending and heart rate. In...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3690047/ https://www.ncbi.nlm.nih.gov/pubmed/23666134 http://dx.doi.org/10.3390/s130506109 |
_version_ | 1782274340072456192 |
---|---|
author | Aroca, Rafael V. Gomes, Rafael B. Dantas, Rummennigue R. Calbo, Adonai G. Gonçalves, Luiz M. G. |
author_facet | Aroca, Rafael V. Gomes, Rafael B. Dantas, Rummennigue R. Calbo, Adonai G. Gonçalves, Luiz M. G. |
author_sort | Aroca, Rafael V. |
collection | PubMed |
description | Wearable computing is a form of ubiquitous computing that offers flexible and useful tools for users. Specifically, glove-based systems have been used in the last 30 years in a variety of applications, but mostly focusing on sensing people's attributes, such as finger bending and heart rate. In contrast, we propose in this work a novel flexible and reconfigurable instrumentation platform in the form of a glove, which can be used to analyze and measure attributes of fruits by just pointing or touching them with the proposed glove. An architecture for such a platform is designed and its application for intuitive fruit grading is also presented, including experimental results for several fruits. |
format | Online Article Text |
id | pubmed-3690047 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-36900472013-07-09 A Wearable Mobile Sensor Platform to Assist Fruit Grading Aroca, Rafael V. Gomes, Rafael B. Dantas, Rummennigue R. Calbo, Adonai G. Gonçalves, Luiz M. G. Sensors (Basel) Article Wearable computing is a form of ubiquitous computing that offers flexible and useful tools for users. Specifically, glove-based systems have been used in the last 30 years in a variety of applications, but mostly focusing on sensing people's attributes, such as finger bending and heart rate. In contrast, we propose in this work a novel flexible and reconfigurable instrumentation platform in the form of a glove, which can be used to analyze and measure attributes of fruits by just pointing or touching them with the proposed glove. An architecture for such a platform is designed and its application for intuitive fruit grading is also presented, including experimental results for several fruits. Molecular Diversity Preservation International (MDPI) 2013-05-10 /pmc/articles/PMC3690047/ /pubmed/23666134 http://dx.doi.org/10.3390/s130506109 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/ |
spellingShingle | Article Aroca, Rafael V. Gomes, Rafael B. Dantas, Rummennigue R. Calbo, Adonai G. Gonçalves, Luiz M. G. A Wearable Mobile Sensor Platform to Assist Fruit Grading |
title | A Wearable Mobile Sensor Platform to Assist Fruit Grading |
title_full | A Wearable Mobile Sensor Platform to Assist Fruit Grading |
title_fullStr | A Wearable Mobile Sensor Platform to Assist Fruit Grading |
title_full_unstemmed | A Wearable Mobile Sensor Platform to Assist Fruit Grading |
title_short | A Wearable Mobile Sensor Platform to Assist Fruit Grading |
title_sort | wearable mobile sensor platform to assist fruit grading |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3690047/ https://www.ncbi.nlm.nih.gov/pubmed/23666134 http://dx.doi.org/10.3390/s130506109 |
work_keys_str_mv | AT arocarafaelv awearablemobilesensorplatformtoassistfruitgrading AT gomesrafaelb awearablemobilesensorplatformtoassistfruitgrading AT dantasrummenniguer awearablemobilesensorplatformtoassistfruitgrading AT calboadonaig awearablemobilesensorplatformtoassistfruitgrading AT goncalvesluizmg awearablemobilesensorplatformtoassistfruitgrading AT arocarafaelv wearablemobilesensorplatformtoassistfruitgrading AT gomesrafaelb wearablemobilesensorplatformtoassistfruitgrading AT dantasrummenniguer wearablemobilesensorplatformtoassistfruitgrading AT calboadonaig wearablemobilesensorplatformtoassistfruitgrading AT goncalvesluizmg wearablemobilesensorplatformtoassistfruitgrading |