  In this paper, by characterizing the Leg Agility (LA) task, which contributes
to the evaluation of the degree of severity of the Parkinson's Disease (PD),
through kinematic variables (including the angular amplitude and speed of
thighs' motion), we investigate the link between these variables and Unified
Parkinson's Disease Rating Scale (UPDRS) scores. Our investigation relies on
the use of a few body-worn wireless inertial nodes and represents a first step
in the design of a portable system, amenable to be integrated in Internet of
Things (IoT) scenarios, for automatic detection of the degree of severity (in
terms of UPDRS score) of PD. The experimental investigation is carried out
considering 24 PD patients.
