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...
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doaj-b9eda59fe2224c5cb66fc8b221dd8a742020-11-24T22:10:09ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012016-10-011310100110.3390/ijerph13101001ijerph13101001Exercise Performance Measurement with Smartphone Embedded Sensor for Well-Being ManagementChung-Tse Liu0Chia-Tai Chan1Department of Boimedical Engineering, National Yang-Ming University, Taipei 11221, TaiwanDepartment of Boimedical Engineering, National Yang-Ming University, Taipei 11221, TaiwanRegular 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.http://www.mdpi.com/1660-4601/13/10/1001physical activitymotion sensorsfeedbackwell-being management |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chung-Tse Liu Chia-Tai Chan |
spellingShingle |
Chung-Tse Liu Chia-Tai Chan Exercise Performance Measurement with Smartphone Embedded Sensor for Well-Being Management International Journal of Environmental Research and Public Health physical activity motion sensors feedback well-being management |
author_facet |
Chung-Tse Liu Chia-Tai Chan |
author_sort |
Chung-Tse Liu |
title |
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_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_sort |
exercise performance measurement with smartphone embedded sensor for well-being management |
publisher |
MDPI AG |
series |
International Journal of Environmental Research and Public Health |
issn |
1660-4601 |
publishDate |
2016-10-01 |
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. |
topic |
physical activity motion sensors feedback well-being management |
url |
http://www.mdpi.com/1660-4601/13/10/1001 |
work_keys_str_mv |
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