  A continuous monitoring of the physical strength and mobility of elderly
people is important for maintaining their health and treating diseases at an
early stage. However, frequent screenings by physicians are exceeding the
logistic capacities. An alternate approach is the automatic and unobtrusive
collection of functional measures by ambient sensors. In the current
publication, we show the correlation among data of ambient motion sensors and
the well-established mobility assessments Short-Physical-Performance-Battery,
Tinetti and Timed Up & Go. We use the average number of motion sensor events as
activity measure for correlation with the assessment scores. The evaluation on
a real-world dataset shows a moderate to strong correlation with the scores of
standardised geriatrics physical assessments.
