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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Main Authors: Chung-Tse Liu, Chia-Tai Chan
Format: Article
Language:English
Published: MDPI AG 2016-10-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:http://www.mdpi.com/1660-4601/13/10/1001
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spelling 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
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