WEARDA

WEARDA: recording wearable sensor data for human activity monitoring.

4
mentions
2
contributors
13 commits | Last commit 11 months ago

Cite this software

What WEARDA can do for you

We present WEARDA, the open source WEARable sensor Data acquisition software package. WEARDA facilitates the acquisition of human activity data with smartwatches and is primarily aimed at researchers who require transparency, full control, and access to raw sensor data. It provides functionality to simultaneously record raw data from four sensors—tri-axis accelerometer, tri-axis gyroscope, barometer, and GPS—which should enable researchers to, for example, estimate energy expenditure and mine movement trajectories.

A Samsung smartwatch running the Tizen OS was chosen because of 1) the required functionalities of the smartwatch software API, 2) the availability of software development tools and accessible documentation, 3) having the required sensors, and 4) the requirements on case design for acceptance by the target user group.

WEARDA addresses five practical challenges concerning preparation, measurement, logistics, privacy preservation, and reproducibility to ensure efficient and errorless data collection. The software package was initially created for the project “Dementia back at the heart of the community”, and has been successfully used in that context.

Participating organisations

LIACS - Leiden Institute of Advanced Computer Science
Leiden University

Mentions

Contributors

Richard van Dijk
Richard van Dijk
Research software engineer
LIACS, Leiden University
Daniela Gawehns
Daniela Gawehns
Tester & User
LIACS, Leiden University

Related projects

SmartPlay

A smartwatch software for measuring play with a data-driven, interdisciplinary approach

Updated 3 weeks ago
In progress