Accidental falls are a major source of loss of autonomy, deaths, and injuries among the
elderly. Accidental falls also have a remarkable impact on the costs of national health …

Autism is a disability that obstructs the process of a person's development. Autistic
individuals find it extremely difficult to cope with the world's pace, can not communicate …

A computational system able to automatically and efficiently detect and classify falls would
be beneficial for monitoring the elderly population and speed up the assistance …

Fall detection is a major challenge for researchers. Indeed, a fall can cause injuries such as
femoral neck fracture, brain hemorrhage, or skin burns, leading to significant pain. However …

Due to the repercussion of falls on both the health and self-sufficiency of older people and
on the financial sustainability of healthcare systems, the study of wearable fall detection …

Falls are a significant problem for persons with multiple sclerosis (PwMS). Yet fall prevention
interventions are not often prescribed until after a fall has been reported to a healthcare …

Falling is a major challenge faced by elderly and disabled people who live alone. They
therefore need reliable surveillance so they can be assisted in the event of a fall. An effective …

Fall detection is a very challenging task that has a clear impact in the autonomous living of
the elderly individuals: suffering a fall with no support increases the fears of the elderly …

Abstract Background and Objective: Fall detection is an important problem for vulnerable
sectors of the population such as elderly people, who frequently live alone. Note that a fall …

A fall of an elderly person often leads to serious injuries or even death. Many falls occur in
the home environment and remain unrecognized. Therefore, a reliable fall detection is …