Falls in individuals with stroke.

By V. Weerdesteyn, M. de Niet, Hanneke J. R. van Duijnhoven, A. Geurts. Journal of rehabilitation research and development, 2008

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Time synchronization and data fusion for RGB-Depth cameras and inertial sensors in AAL applications (2015, methodology): “TUG test represents a well known tool in the rehabilitation field, and it is used to evaluate gait and balance capabilities of people, especially older ones ([9], [10]).”
Validity of the Microsoft Kinect for assessment of postural control. (2012, background): “control and factors such as functional performance and falls risk [4,25], our results suggest that the Microsoft Kinect has the potential to be used in clinical screening programs for a wide range of patient populations.”
The Promise of mHealth: Daily Activity Monitoring and Outcome Assessments by Wearable Sensors (2011, background): “For example, in the first year after stroke, 60% of disabled people suffer falls, 34 and half have multiple falls 16 with frequent injuries and bone fractures.”