Authors:
Giovanna Sannino
;
Ivanoe De Falco
and
Giuseppe De Pietro
Affiliation:
National Research Council of Italy (CNR), Italy
Keyword(s):
Falling Risk, Physical Activity, Body Mass Index, Statistical Analysis, Correlation,Wearable Sensors, Mobile Devices.
Abstract:
The aim of this study is to investigate the correlation between, on the one hand, personal and life-style indicators
and, on the other hand, the risk of falling. As indicators we consider here for each subject age, body
mass index, and information about physical activity habits, while a subject’s risk of falling is estimated by
the Mini-BES test score. Three different groups of subjects are taken into account, namely healthy, suffering
from metabolic diseases and suffering from cardiovascular diseases. Firstly, we aim at finding explicit linear
correlations for any pair of parameters. Secondly, we wish to pay attention to whether or not these correlations
change as the health state of the subjects does. The final goal is to move the first steps towards the design of
a system composed by wearable sensors, a mobile device, and an app that would be able to help people in
improving their life-style so as to decrease their falling risk.