Facilitating healthcare using smartwatches

Smartwatch data acquisition platform

Bachelor thesis (2022)

Authors

M. Sluijs Electrical Engineering, Mathematics and Computer Science
R. Poll Electrical Engineering, Mathematics and Computer Science
S. Liao Electrical Engineering, Mathematics and Computer Science

Contributors

Bahareh Abdi Electrical Engineering Education - EEMCS (mentor)
A.J. van der Veen Signal Processing Systems - EEMCS (mentor)
R.M.A. van Puffelen Electronic Instrumentation - EEMCS (graduation committee member)
E.W. Bol Electrical Engineering Education - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2022 Marijn Sluijs, Robbin Poll, Shijie Liao
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Published Date

21-06-2022

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

This report details the design and implementation of a subsystem providing a web-based platform for smartwatch data acquisition. A smartwatch application is developed to read out the accelerometer, gyroscope and heart rate sensor on the smartwatch and transmit the sensor data to the platform. A platform is developed to receive the data and store it in a database. Recordings can be downloaded from the platform to use in research of human activity. The platform presents the type of activity the smartwatch user is doing using machine learning models, by integrating the other subsystem. Multiple tests have been performed to analyse and improve the performance of the system. The battery life of the smartwatch has been tested using various settings in the smartwatch application to determine the most power-efficient settings.