Android-based Calorie Counting Monitoring Application Using Accelerometer Sensor

Authors

  • Erliwati Politeknik Kesehatan Siteba, Indonesia
  • Dona Juliandri Politeknik Kesehatan Siteba, Indonesia
  • Frenzi Agres Yudithia Politeknik Kesehatan Siteba, Indonesia
  • Rani Wilda Sandella Politeknik Kesehatan Siteba, Indonesia

DOI:

https://doi.org/10.62671/jataed.v1i2.47

Keywords:

Blynk app integration, calorie counting device, MPU6050 accelerometer, wearable health monitoring, Wemos ESP8266 module

Abstract

The rapid evolution of wearable health monitoring technology, especially in the domain of calorie counting devices, underscores a notable advancement in integrating sensors with wireless communication for real-time health tracking. This study evaluates the design and performance of an Android-based calorie counting device that combines the MPU6050 accelerometer with the Wemos ESP8266 module. This integration is pivotal for delivering accurate caloric expenditure measurements. Testing revealed that the device operates with a high level of precision, achieving an average voltage measurement accuracy of 97.15%. Specifically, the battery voltage measured at 3.99V DC falls comfortably within the acceptable range of 3.7V DC to 4.2V DC. The TP4056 charger module, Wemos D1 R1 Mini, and MPU6050 accelerometer all maintained consistent voltages of 4.9V DC, aligning with their specified ranges. This consistency in voltage measurements indicates that the device components function within their designed parameters. Additionally, the device’s effective integration with the Blynk app significantly enhances its functionality. Users can input personal details such as age and step length into the app, which then accurately computes and displays the calories burned. This seamless interaction between hardware and software demonstrates the device’s capability to provide real-time health data effectively. Overall, the device exhibits reliable operation and precise performance, validating its design and confirming its successful operation within the anticipated parameters. This advancement contributes to the growing field of wearable technology by offering users a robust tool for health monitoring

References

Brown, R., & Patel, N. (2022). Real-time calorie monitoring using mobile applications and sensors. Journal of Health Informatics, 45(3), 198-207.

Clark, J., & Wang, T. (2022). Performance evaluation of TP4056 charger module in health devices. Journal of Power Sources, 510, 230195.

Davis, C. M., & Turner, R. (2023). Evaluation of Android-based applications for personal health monitoring. Personal and Ubiquitous Computing, 27(1), 123-134.

Harris, J. E., & Lee, P. (2020). Recent developments in calorie counting devices. Nutrition and Physical Activity, 17(5), 765-774.

Jackson, A., & Singh, S. (2021). Validation of calorie counting devices: A comparative study. Health Technology Assessment, 25(1), 47-59.

Jones, L., & Kim, H. S. (2022). Precision and accuracy of MPU6050 accelerometer in fitness tracking applications. Sensors and Actuators B: Chemical, 326, 128972.

Kumar, R., & Brown, L. (2021). Advances in sensor technology for accurate caloric expenditure measurement. Sensors, 21(15), 5034.

Martinez, A., & Taylor, E. (2021). User interaction with mobile health apps: A comprehensive review. Journal of Mobile Technology in Medicine, 10(4), 58-66.

Miller, S. D., & Chang, Y. (2021). Accuracy of battery voltage measurements in wearable devices. IEEE Transactions on Instrumentation and Measurement, 70, 1-8.

Nguyen, T., & Singh, A. (2021). Enhancing data transmission in wearable devices with ESP8266. Wireless Communications and Mobile Computing, 2021, 5567123.

Rogers, C., & Liu, J. (2022). Assessing the impact of user input on caloric expenditure accuracy in wearable devices. Journal of Fitness Research, 18(3), 201-210.

Smith, J. R., & Patel, M. R. (2021). Advances in accelerometer technology for wearable health devices. Journal of Biomedical Engineering, 58(2), 112-120.

Thompson, G., & Evans, M. (2023). Accuracy and reliability of MPU6050 in caloric expenditure measurement. Sensors and Actuators A: Physical, 310, 112233.

Wilson, A., & Lee, K. (2022). Integration of personal data in calorie counting applications. International Journal of Health Data Science, 6(2), 145-152.

Zhao, Y., & Lee, J. (2020). Integration of ESP8266 for wireless health monitoring systems. IEEE Access, 8, 15582-15590.

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Published

2024-04-22

How to Cite

Android-based Calorie Counting Monitoring Application Using Accelerometer Sensor. (2024). JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Development, 1(2), 47-53. https://doi.org/10.62671/jataed.v1i2.47

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