Gait analysis using wearable sensors is an inexpensive, convenient, and efficient manner of
providing useful information for multiple health-related applications. As a clinical tool applied …

Since falls are a major public health problem among older people, the number of systems
aimed at detecting them has increased dramatically over recent years. This work presents …

Fall detection is a major challenge in the public health care domain, especially for the
elderly, and reliable surveillance is a necessity to mitigate the effects of falls. The technology …

Wearable technology comprises miniaturized sensors (eg, accelerometers) worn on the
body and/or paired with mobile devices (eg, smart phones) allowing continuous patient …

Falls are critical events among elderly people that requires timely rescue. In this paper, we
propose a fall detection system consisting of an inertial unit that includes triaxial …

Falls are a major health problem for the frail community dwelling old people. For more than
two decades, falls have been extensively investigated by medical institutions to mitigate their …

Falls and fall-related injuries are major incidents, especially for elderly people, which often
mark the onset of major deterioration of health. More than one-third of home-dwelling people …

Background: Falls represent a significant threat to the health and independence of adults
aged 65 years and older. As a wide variety and large number of passive monitoring systems …

Falls in the elderly have always been a serious medical and social problem. To detect and
predict falls, a hidden Markov model (HMM)-based method using tri-axial accelerations of …

Purpose: To obtain insight into what kind of monitoring technologies exist to monitor activity
in-home, what the characteristics and aims of applying these technologies are, what kind of …