The Virtual-Spine platform-acquiring, visualizing, and analyzing individual sitting behavior

Stephen Jia Wang, Bjorn Sommer, Wenlong Cheng, Falk Schreiber

Research output: Contribution to journalArticleResearchpeer-review

Abstract

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 webbased 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.

Original languageEnglish
Article numbere0195670
Number of pages26
JournalPLoS ONE
Volume13
Issue number6
DOIs
Publication statusPublished - 1 Jun 2018

Cite this

Wang, Stephen Jia ; Sommer, Bjorn ; Cheng, Wenlong ; Schreiber, Falk. / The Virtual-Spine platform-acquiring, visualizing, and analyzing individual sitting behavior. In: PLoS ONE. 2018 ; Vol. 13, No. 6.
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The Virtual-Spine platform-acquiring, visualizing, and analyzing individual sitting behavior. / Wang, Stephen Jia; Sommer, Bjorn; Cheng, Wenlong; Schreiber, Falk.

In: PLoS ONE, Vol. 13, No. 6, e0195670, 01.06.2018.

Research output: Contribution to journalArticleResearchpeer-review

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