Nowadays, recognizing human activities is an important subject; it is exploited widely and
applied to many fields in real-life, especially health care or context aware application …

Most of people likes living independently at home. Some activity in our daily life is prone to
have some accidents, such as falls. Falls can make people in fatal conditions, even death. A …

With the rapid growth of the population of the elderly in the world, many countries in the
world have been in the aging society. Falls are a major public health concern and one of the …

Since todays smartphones are programmable and embed various sensors, these phones
have the potential to change the way how healthcare is delivered. Fall detection is definitely …

Fall detection receives significant attention in the field of preventive medicine, wellness
provision and assisted living, especially for the elderly. As a result, numerous commercial …

In this paper, we describe our work on developing an automatic fall detection technique
using smart phone. Fall is detected based on analyzing acceleration patterns generated …

This paper presents a system for fall detecting using off-the-shelf electronic devices to detect
the fall. We use a smart phone with an embedded tri-axial accelerometer sensor. Data from …

Accidental falls are common causes of serious injury and health threats in the elder
population. To deliver adequate medical support, the robust and immediate falls detection is …

Falls are a major health risk that diminish the quality of life among elderly people. With the
elderly population surging, especially with aging “baby boomers”, fall detection becomes …

The injuries caused by falls are great threats to the elderly people. With the ability of
communication and motion sensing, the mobile phone is an ideal platform to detect the …