Research: Software
The mHealth group is committed to releasing software as often as possible. Generally, we want to make as much of our code available as possible, especially for published algorithms (see the Datasets page).
We currently have three open-source applications that may be of particular interest to the research community:
Video Annotator - Python package for labeling of front-facing video (used in PAAWS study)
Signaligner Pro - Raw accelerometer data visualization package
MixWILD - Mixed Model Analysis with Longitudinal Data
We currently have three open-source applications that may be of particular interest to the research community:
Video Annotator - Python package for labeling of front-facing video (used in PAAWS study)
Signaligner Pro - Raw accelerometer data visualization package
MixWILD - Mixed Model Analysis with Longitudinal Data