Falls are unusual actions that cause a significant health risk among older people. The
growing percentage of people of old age requires urgent development of fall detection and …

Fall risk assessment and fall detection are crucial for the prevention of adverse and long-
term health outcomes. Wearable sensor systems have been used to assess fall risk and …

Freezing of gait (FOG) is a serious gait disturbance, common in mid-and late-stage
Parkinson's disease, that affects mobility and increases fall risk. Wearable sensors have …

Background Falls are a prevalent issue in the geriatric population and can result in
damaging physical and psychological consequences. Fall risk assessment can provide …

Background wearable sensors are often used to acquire data for gait analysis as a strategy
to study fall events, due to greater availability of acquisition platforms, and advances in …

Background Falls are a major health problem for older adults with significant physical and
psychological consequences. A first step of successful fall prevention is to identify those at …

Technological advances in sensors and communications have enabled discrete integration
into everyday objects, both in the home and about the person. Information gathered by …

Fall risk assessment is essential to predict and prevent falls in geriatric populations,
especially patients with life-long conditions like neurological disorders. Inertial sensor-based …

Poor dynamic balance and impaired gait adaptation to different contexts are hallmarks of
people with neurological disorders (PwND), leading to difficulties in daily life and increased …

Falls have been recognized as the major cause of accidental death and injury in people
aged 65 and above. The timely prediction of fall risks can help identify older adults prone to …