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Updated: Sep 25, 2025
11:15
Determining the Contribution of the Energy Systems During Exercise
Published on: March 20, 2012
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Sports Energy Consumption Evaluation Based on Improved Adaptive Weighted Data Fusion Energy-Saving Algorithm
1Xi'an Medical University, Xi'an City, Shaanxi Province 710021, China.
Computational Intelligence and Neuroscience
|May 2, 2022
Summary
This study evaluated sports smart bracelets and apps for monitoring exercise energy consumption using a cardiopulmonary function tester. Results show varying accuracy across devices and activities, offering guidance for effective exercise tracking.
Area of Science:
- Sports Science and Technology
- Biomedical Engineering
- Wearable Technology
Background:
- Accurate monitoring of energy expenditure during physical activity is crucial for effective exercise prescription and health management.
- The proliferation of smart bracelets and sports applications necessitates an evaluation of their accuracy in tracking exercise metrics.
- Existing devices and software may exhibit variability in performance across different activities and physiological parameters.
Purpose of the Study:
- To assess the accuracy of popular sports smart bracelets and smartphone applications in monitoring energy consumption during various physical activities.
- To compare the performance of selected devices and software against a portable cardiopulmonary function tester as a reference standard.
- To provide a scientific basis for athletes and individuals to select appropriate tools for objective and effective exercise monitoring.
Main Methods:
- Utilized a portable cardiopulmonary function tester to establish accurate reference values for energy consumption.
- Selected and evaluated several popular sports smart bracelets and smartphone applications for their monitoring capabilities.
- Compared the measured energy consumption and error percentages of the selected devices/software against the reference values during different exercise types.
Main Results:
- During normal running, Huawei Band demonstrated relatively accurate monitoring of steps and energy consumption, while associated motion software accurately tracked distance.
- Codoon sports software showed relatively accurate monitoring of distance and energy consumption.
- For jogging, Huawei Band was accurate for step count, LeDong sports software for distance, and Codoon sports software for energy consumption.
Conclusions:
- The accuracy of smart bracelets and sports applications in monitoring exercise metrics varies significantly across different devices, software, and activity types.
- Specific devices and applications show strengths in monitoring particular parameters (e.g., steps, distance, energy consumption) during distinct activities.
- Findings provide valuable insights for users to select the most suitable exercise monitoring tools based on their specific needs and activities.
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