KINECAL

The field of human action recognition has made great strides in recent years,
much helped by the availability of a wide variety of datasets that use Kinect
to record human movement. Conversely, progress towards using Kinect in
clinical practice has been hampered by the lack of appropriate data. In
particular, datasets that contain clinically significant movements and
appropriate metadata. This paper proposes a dataset to address this issue,
namely KINECAL. It contains the recordings of 90 individuals carrying out 11
movements, commonly used in the clinical assessment of balance. The dataset
contains relevant metadata, including clinical labelling, falls history and
postural sway metrics. In addition, the recordings were made in both the lab
and in informal settings.