Recently, inertial sensors have been incorporated
into fall risk assessment protocols for older adults
and could be used to generate input data for intelligent
soft computing applications (i.e., methods that
consider imprecision and uncertainty in complex system
analysis) that represent geriatric fall risk as a continuum.
To date, inertial sensor use in fall risk assessment has varied
by study methodology, assessment variables, and fall
risk models. One of the accelerometer-based physicalactivity-
monitoring review papers [26] provided only a
brief review of inertial-sensor-based fall risk assessment.
Shany et al. [27] provided an interesting discussion of
wearable sensors for fall risk assessment, focusing on
high-level methodologies when assessing structured or
unstructured movements in supervised or unsupervised
environments.