A fall is an abnormal activity that occurs rarely; however, missing to identify falls can have
serious health and safety implications on an individual. Due to the rarity of occurrence of …

Background Previous research on balance mostly focused on the assessment, training, and
improvements of balance through interventions. We investigated tools commonly used to …

Falls are a foremost source of injuries and hospitalization for seniors. The adoption of
automatic fall detection mechanisms can noticeably reduce the response time of the medical …

The livelihood problem, especially the medical wisdom, has played an important role during
the process of the building of smart cities. For the medical wisdom, the fall detection has …

In this paper, the Multiscale Entropy (MSE) analysis of acceleration data collected from a
wearable inertial sensor was compared with other features reported in the literature to …

Human activity recognition is an area of growing interest facilitated by the current revolution
in body-worn sensors. Activity recognition allows applications to construct activity profiles for …

The main tools for measuring postural instability of the body during quiet stance are
stabilometric platforms. Frequency domain analysis of center of pressure excursions is used …

Pervasive or ubiquitous computing environments have become very common nowadays.
The vision of pervasive computing is given by Mark Weiser in 1991. Pervasive computing …

Recent studies report that globally unintentional fall among aging population is one of the
most costly and complex healthcare issue. There is a possibility that elderly might fall when …

Ambient Assisted Living has become a cost-effective option for coping with the rapid aging
of society. Personalized health monitoring is an important aspect of Ambient Assisted Living …