Smart wearables collect and analyze data, and in some scenarios make a smart decision
and provide a response to the user and are finding more and more applications in our daily …

Elderly care at home is a matter of great concern if the elderly live alone, since unforeseen
circumstances might occur that affect their well-being. Technologies that assist the elderly in …

Fall detection is an important public healthcare problem. Timely detection could enable
instant delivery of medical service to the injured. A popular nonintrusive solution for fall …

Activity detection and classification are very important for autonomous monitoring of humans
for applications, including assistive living, rehabilitation, and surveillance. Wearable sensors …

Falls are one of the major causes leading to injury of elderly people. Using wearable
devices for fall detection has a high cost and may cause inconvenience to the daily lives of …

Falls in older adults are a major cause of morbidity and mortality and are a key class of
preventable injuries. This paper presents a patient-specific (PS) fall prediction and detection …

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 …

Elderly fall prevention and detection becomes extremely crucial with the fast aging
population globally. In this article, we propose mmFall, a novel fall detection system, which …

Background Wearable sensors (wearables) have been commonly integrated into a wide
variety of commercial products and are increasingly being used to collect and process raw …

We propose in this paper a novel algorithm as well as architecture for the fall accident
detection and corresponding wide area rescue system based on a smart phone and the third …