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Exercise Performance Measurement with Smartphone Embedded Sensor for Well-Being Management

Author

Listed:
  • 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)

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.

Suggested Citation

  • Chung-Tse Liu & Chia-Tai Chan, 2016. "Exercise Performance Measurement with Smartphone Embedded Sensor for Well-Being Management," IJERPH, MDPI, vol. 13(10), pages 1-13, October.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:10:p:1001-:d:80243
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