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Exercise Performance Measurement with Smartphone Embedded Sensor for Well-Being Management
Regular physical activity reduces the risk of many diseases and improves physical and mental health. However, physical inactivity is widespread globally. Improving physical activity levels is a global concern in well-being management. Exercise performance measurement systems have the potential to im...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5086740/ https://www.ncbi.nlm.nih.gov/pubmed/27727188 http://dx.doi.org/10.3390/ijerph13101001 |
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author | Liu, Chung-Tse Chan, Chia-Tai |
author_facet | Liu, Chung-Tse Chan, Chia-Tai |
author_sort | Liu, Chung-Tse |
collection | PubMed |
description | Regular physical activity reduces the risk of many diseases and improves physical and mental health. However, physical inactivity is widespread globally. Improving physical activity levels is a global concern in well-being management. Exercise performance measurement systems have the potential to improve physical activity by providing feedback and motivation to users. We propose an exercise performance measurement system for well-being management that is based on the accumulated activity effective index (AAEI) and incorporates a smartphone-embedded sensor. The proposed system generates a numeric index that is based on users’ exercise performance: their level of physical activity and number of days spent exercising. The AAEI presents a clear number that can serve as a useful feedback and goal-setting tool. We implemented the exercise performance measurement system by using a smartphone and conducted experiments to assess the feasibility of the system and investigated the user experience. We recruited 17 participants for validating the feasibility of the measurement system and a total of 35 participants for investigating the user experience. The exercise performance measurement system showed an overall precision of 88% in activity level estimation. Users provided positive feedback about their experience with the exercise performance measurement system. The proposed system is feasible and has a positive effective on well-being management. |
format | Online Article Text |
id | pubmed-5086740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-50867402016-11-02 Exercise Performance Measurement with Smartphone Embedded Sensor for Well-Being Management Liu, Chung-Tse Chan, Chia-Tai Int J Environ Res Public Health Article Regular physical activity reduces the risk of many diseases and improves physical and mental health. However, physical inactivity is widespread globally. Improving physical activity levels is a global concern in well-being management. Exercise performance measurement systems have the potential to improve physical activity by providing feedback and motivation to users. We propose an exercise performance measurement system for well-being management that is based on the accumulated activity effective index (AAEI) and incorporates a smartphone-embedded sensor. The proposed system generates a numeric index that is based on users’ exercise performance: their level of physical activity and number of days spent exercising. The AAEI presents a clear number that can serve as a useful feedback and goal-setting tool. We implemented the exercise performance measurement system by using a smartphone and conducted experiments to assess the feasibility of the system and investigated the user experience. We recruited 17 participants for validating the feasibility of the measurement system and a total of 35 participants for investigating the user experience. The exercise performance measurement system showed an overall precision of 88% in activity level estimation. Users provided positive feedback about their experience with the exercise performance measurement system. The proposed system is feasible and has a positive effective on well-being management. MDPI 2016-10-11 2016-10 /pmc/articles/PMC5086740/ /pubmed/27727188 http://dx.doi.org/10.3390/ijerph13101001 Text en © 2016 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 (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liu, Chung-Tse Chan, Chia-Tai Exercise Performance Measurement with Smartphone Embedded Sensor for Well-Being Management |
title | Exercise Performance Measurement with Smartphone Embedded Sensor for Well-Being Management |
title_full | Exercise Performance Measurement with Smartphone Embedded Sensor for Well-Being Management |
title_fullStr | Exercise Performance Measurement with Smartphone Embedded Sensor for Well-Being Management |
title_full_unstemmed | Exercise Performance Measurement with Smartphone Embedded Sensor for Well-Being Management |
title_short | Exercise Performance Measurement with Smartphone Embedded Sensor for Well-Being Management |
title_sort | exercise performance measurement with smartphone embedded sensor for well-being management |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5086740/ https://www.ncbi.nlm.nih.gov/pubmed/27727188 http://dx.doi.org/10.3390/ijerph13101001 |
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