Fall prediction is a multifaceted problem that involves complex interactions between
physiological, behavioral, and environmental factors. Existing fall detection and prediction …

In recent years, an ever increasing range of technology-based applications have been
developed with the goal of assisting in the delivery of more effective and efficient fall …

This paper integrates an unobtrusive and affordable sensing technology with machine
learning methods to discriminate between healthy and pathological gait patterns as a result …

Remote monitoring of patients is considered as one of the reliable alternatives to healthcare
solutions for elderly and/or chronically ill patients. Further, monitoring interaction with people …

Background Increasing number of falls and fall-related injuries in an aging society give rise
to the need for effective fall prevention and rehabilitation strategies. Besides traditional …

Elderly support ambient assisted living environments are focal in healthcare computing.
Critical to their implementation is transparent integration of diverse hardware and its …

Background: Engaging in physical activity contributes to healthy aging; however, adherence
to exercise programs is often low among older adults. Technology-mediated dance systems …

Falls are one of the most common causes of accidental injury: approximately, 37.3 million
falls requiring medical intervention occur each year. Fall-related injuries may cause …

This study uses machine learning methods to distinguish between healthy and pathological
gait. Examples of multi-dimensional pathological and normal gait sequences were collected …

In recent years, the use of interactive game technology has gained much interest in the
research community as a means to measure indicators associated with the risk of falling in …