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Can Smartwatches Replace Smartphones for Posture Tracking?
This paper introduces a human posture tracking platform to identify the human postures of sitting, standing or lying down, based on a smartwatch. This work develops such a system as a proof-of-concept study to investigate a smartwatch’s ability to be used in future remote health monitoring systems a...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634473/ https://www.ncbi.nlm.nih.gov/pubmed/26506354 http://dx.doi.org/10.3390/s151026783 |
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author | Mortazavi, Bobak Nemati, Ebrahim VanderWall, Kristina Flores-Rodriguez, Hector G. Cai, Jun Yu Jacinta Lucier, Jessica Naeim, Arash Sarrafzadeh, Majid |
author_facet | Mortazavi, Bobak Nemati, Ebrahim VanderWall, Kristina Flores-Rodriguez, Hector G. Cai, Jun Yu Jacinta Lucier, Jessica Naeim, Arash Sarrafzadeh, Majid |
author_sort | Mortazavi, Bobak |
collection | PubMed |
description | This paper introduces a human posture tracking platform to identify the human postures of sitting, standing or lying down, based on a smartwatch. This work develops such a system as a proof-of-concept study to investigate a smartwatch’s ability to be used in future remote health monitoring systems and applications. This work validates the smartwatches’ ability to track the posture of users accurately in a laboratory setting while reducing the sampling rate to potentially improve battery life, the first steps in verifying that such a system would work in future clinical settings. The algorithm developed classifies the transitions between three posture states of sitting, standing and lying down, by identifying these transition movements, as well as other movements that might be mistaken for these transitions. The system is trained and developed on a Samsung Galaxy Gear smartwatch, and the algorithm was validated through a leave-one-subject-out cross-validation of 20 subjects. The system can identify the appropriate transitions at only 10 Hz with an F-score of 0.930, indicating its ability to effectively replace smart phones, if needed. |
format | Online Article Text |
id | pubmed-4634473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-46344732015-11-23 Can Smartwatches Replace Smartphones for Posture Tracking? Mortazavi, Bobak Nemati, Ebrahim VanderWall, Kristina Flores-Rodriguez, Hector G. Cai, Jun Yu Jacinta Lucier, Jessica Naeim, Arash Sarrafzadeh, Majid Sensors (Basel) Article This paper introduces a human posture tracking platform to identify the human postures of sitting, standing or lying down, based on a smartwatch. This work develops such a system as a proof-of-concept study to investigate a smartwatch’s ability to be used in future remote health monitoring systems and applications. This work validates the smartwatches’ ability to track the posture of users accurately in a laboratory setting while reducing the sampling rate to potentially improve battery life, the first steps in verifying that such a system would work in future clinical settings. The algorithm developed classifies the transitions between three posture states of sitting, standing and lying down, by identifying these transition movements, as well as other movements that might be mistaken for these transitions. The system is trained and developed on a Samsung Galaxy Gear smartwatch, and the algorithm was validated through a leave-one-subject-out cross-validation of 20 subjects. The system can identify the appropriate transitions at only 10 Hz with an F-score of 0.930, indicating its ability to effectively replace smart phones, if needed. MDPI 2015-10-22 /pmc/articles/PMC4634473/ /pubmed/26506354 http://dx.doi.org/10.3390/s151026783 Text en © 2015 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/4.0/). |
spellingShingle | Article Mortazavi, Bobak Nemati, Ebrahim VanderWall, Kristina Flores-Rodriguez, Hector G. Cai, Jun Yu Jacinta Lucier, Jessica Naeim, Arash Sarrafzadeh, Majid Can Smartwatches Replace Smartphones for Posture Tracking? |
title | Can Smartwatches Replace Smartphones for Posture Tracking? |
title_full | Can Smartwatches Replace Smartphones for Posture Tracking? |
title_fullStr | Can Smartwatches Replace Smartphones for Posture Tracking? |
title_full_unstemmed | Can Smartwatches Replace Smartphones for Posture Tracking? |
title_short | Can Smartwatches Replace Smartphones for Posture Tracking? |
title_sort | can smartwatches replace smartphones for posture tracking? |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634473/ https://www.ncbi.nlm.nih.gov/pubmed/26506354 http://dx.doi.org/10.3390/s151026783 |
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