Evaluation of methods for computing athlete’s energy expenditure implemented on Android devices
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Published:
Mar 30, 2019
Issue Vol. 10 (2019)
Articles
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Comparison of tools for creating SPA applications using the examples of Angular2 and React
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Recording using a motion capture system and a mobile device with synchronization of the recording triggering
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Modification of path-finding algorithms introducing time and distance limitations
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Performance analysis of methods for building applications on the Salesforce platform
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Analysis of the possibilities of testing SPA applications on the example of Selenium and Protractor tools
28-31
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The use of CPU and GPU for calculations in Matlab
32-35
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Comparative analysis of VR goggles
36-43
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Evaluation of methods for computing athlete’s energy expenditure implemented on Android devices
44-48
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Multithreaded programming in structural and object-oriented languages
49-53
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The use of postprocessing and its impact on rendering performance in the Unreal Engine 4
54-61
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Analysis of the quality of web application interface using eye-tracking – a case study
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Comparison of the effectiveness of selected face recognition algorithms for poor quality photos
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Comparison of new ways of creating PHP applications using Laravel and CodeIgniter example
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Implementation of management support tools projects in IT companies
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Abstract
The article presents two methods of computing calories burned during exercise. They use data obtained using sensors available on mobile devices running Android OS. These methods were compared with each other and with the results obtained from two applications available on the Google Play store. These applications are Endomondo and Sports Tracker.
Keywords:
consumed energy; calories burned; Android; sensor
Article Details
Muzyka, S., Wójcik, P., & Smołka, J. (2019). Evaluation of methods for computing athlete’s energy expenditure implemented on Android devices . Journal of Computer Sciences Institute, 10, 44–48. https://doi.org/10.35784/jcsi.193
