Facilitating healthcare using smartwatches
Smartwatch data acquisition platform
M. Sluijs (TU Delft - Electrical Engineering, Mathematics and Computer Science)
R. Poll (TU Delft - Electrical Engineering, Mathematics and Computer Science)
S. Liao (TU Delft - Electrical Engineering, Mathematics and Computer Science)
B. Abdi – Mentor (TU Delft - Electrical Engineering Education)
Alle Jan van der Veen – Mentor (TU Delft - Signal Processing Systems)
R.M.A. van Puffelen – Graduation committee member (TU Delft - Electronic Instrumentation)
E.W. Bol – Graduation committee member (TU Delft - Electrical Engineering Education)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
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.