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The Virtual-Spine Platform—Acquiring, visualizing, and analyzing individual sitting behavior
Back pain is a serious medical problem especially for those people sitting over long periods during their daily work. Here we present a system to help users monitoring and examining their sitting behavior. The Virtual-Spine Platform (VSP) is an integrated system consisting of a real-time body positi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5999082/ https://www.ncbi.nlm.nih.gov/pubmed/29897910 http://dx.doi.org/10.1371/journal.pone.0195670 |
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author | Wang, Stephen Jia Sommer, Björn Cheng, Wenlong Schreiber, Falk |
author_facet | Wang, Stephen Jia Sommer, Björn Cheng, Wenlong Schreiber, Falk |
author_sort | Wang, Stephen Jia |
collection | PubMed |
description | Back pain is a serious medical problem especially for those people sitting over long periods during their daily work. Here we present a system to help users monitoring and examining their sitting behavior. The Virtual-Spine Platform (VSP) is an integrated system consisting of a real-time body position monitoring module and a data visualization module to provide individualized, immediate, and accurate sitting behavior support. It provides a comprehensive spine movement analysis as well as accumulated data visualization to demonstrate behavior patterns within a certain period. The two modules are discussed in detail focusing on the design of the VSP system with adequate capacity for continuous monitoring and a web-based interactive data analysis method to visualize and compare the sitting behavior of different persons. The data was collected in an experiment with a small group of subjects. Using this method, the behavior of five subjects was evaluated over a working day, enabling inferences and suggestions for sitting improvements. The results from the accumulated data module were used to elucidate the basic function of body position recognition of the VSP. Finally, an expert user study was conducted to evaluate VSP and support future developments. |
format | Online Article Text |
id | pubmed-5999082 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-59990822018-06-21 The Virtual-Spine Platform—Acquiring, visualizing, and analyzing individual sitting behavior Wang, Stephen Jia Sommer, Björn Cheng, Wenlong Schreiber, Falk PLoS One Research Article Back pain is a serious medical problem especially for those people sitting over long periods during their daily work. Here we present a system to help users monitoring and examining their sitting behavior. The Virtual-Spine Platform (VSP) is an integrated system consisting of a real-time body position monitoring module and a data visualization module to provide individualized, immediate, and accurate sitting behavior support. It provides a comprehensive spine movement analysis as well as accumulated data visualization to demonstrate behavior patterns within a certain period. The two modules are discussed in detail focusing on the design of the VSP system with adequate capacity for continuous monitoring and a web-based interactive data analysis method to visualize and compare the sitting behavior of different persons. The data was collected in an experiment with a small group of subjects. Using this method, the behavior of five subjects was evaluated over a working day, enabling inferences and suggestions for sitting improvements. The results from the accumulated data module were used to elucidate the basic function of body position recognition of the VSP. Finally, an expert user study was conducted to evaluate VSP and support future developments. Public Library of Science 2018-06-13 /pmc/articles/PMC5999082/ /pubmed/29897910 http://dx.doi.org/10.1371/journal.pone.0195670 Text en © 2018 Wang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Wang, Stephen Jia Sommer, Björn Cheng, Wenlong Schreiber, Falk The Virtual-Spine Platform—Acquiring, visualizing, and analyzing individual sitting behavior |
title | The Virtual-Spine Platform—Acquiring, visualizing, and analyzing individual sitting behavior |
title_full | The Virtual-Spine Platform—Acquiring, visualizing, and analyzing individual sitting behavior |
title_fullStr | The Virtual-Spine Platform—Acquiring, visualizing, and analyzing individual sitting behavior |
title_full_unstemmed | The Virtual-Spine Platform—Acquiring, visualizing, and analyzing individual sitting behavior |
title_short | The Virtual-Spine Platform—Acquiring, visualizing, and analyzing individual sitting behavior |
title_sort | virtual-spine platform—acquiring, visualizing, and analyzing individual sitting behavior |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5999082/ https://www.ncbi.nlm.nih.gov/pubmed/29897910 http://dx.doi.org/10.1371/journal.pone.0195670 |
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