On February, 21st 2018, MPI members organized a workshop within the E-care@Home project in order to collect datasets revolving around resting activities. These E-care@home datasets contain elements such as lying down, getting up, sleeping, turning in bed or sitting. A total of 160 datasets (between 10 and 30s each) have been collected and contain data from pressure sensors, motion sensors and shimmer sensors.
Part of the E-care@Home project aims at addressing the problem of lack of usable data. Indeed a lot of current context-recognition systems need annotated data in order to train and test their algorithms. However, very few annotated datasets exist and E-care@Home members are working to make new datasets available for researchers around the world.
The news on the E-care@Home website: