Exercise Performance Measurement with Smartphone Embedded Sensor for Well-Being Management
Chung-Tse Liu and
Chia-Tai Chan
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Chung-Tse Liu: Department of Boimedical Engineering, National Yang-Ming University, Taipei 11221, Taiwan
Chia-Tai Chan: Department of Boimedical Engineering, National Yang-Ming University, Taipei 11221, Taiwan
IJERPH, 2016, vol. 13, issue 10, 1-13
Abstract:
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.
Keywords: physical activity; motion sensors; feedback; well-being management (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:13:y:2016:i:10:p:1001-:d:80243
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