The computer vision community has extensively researched the area of human motion
analysis, which primarily focuses on pose estimation, activity recognition, pose or gesture …

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 …

Automating fall risk assessment, in an efficient, non-invasive manner, specifically in the
elderly population, serves as an efficient means for implementing wide screening of …

Analysis and quantification of human motion to support clinicians in the decision-making
process is the desired outcome for many clinical-based approaches. However, generating …

Since gait can be utilized to identify individuals from a far distance without their interaction
and coordination, recently many gait recognition methods have been proposed. However …

Routine assessments of gait and balance have been recognized as an effective approach
for preventing falls by issuing early warnings and implementing appropriate interventions …

Falls remain an important problem in older people. There is strong evidence that falls can be
prevented with appropriately designed intervention programs. To start a targeted fall …

Ambient Assisted Living applications often need to integrate data from multiple sensors, to
provide consistent information on the observed phenomena. Data fusion based on samples …

The Timed-Up-and-Go (TUG) test is a simple clinical tool commonly used to quickly assess
the mobility of patients. Researchers have endeavored to automate the test using sensors or …

Background Falls pose a severe threat to the health of older adults worldwide. Determining
gait and kinematic parameters that are related to an increased risk of falls is essential for …