Remote monitoring of a fall condition or activities and daily life (ADL) of elderly patients has
become one of the essential purposes for modern telemedicine. Internet of Things (IoT) and …

Activity recognition (AR) from an applied perspective of ambient assisted living (AAL) and
smart homes (SH) has become a subject of great interest. Promising a better quality of life …

Due to the repercussion of falls on both the health and self-sufficiency of older people and
on the financial sustainability of healthcare systems, the study of wearable fall detection …

Background: While physical exercise is known to help prevent falls in the elderly, bad
weather and long distance between the home and place of exercise represent substantial …

Due to the serious impact of falls on the quality of life of the elderly and on the economical
sustainability of health systems, the study of new monitoring systems capable of …

Automatic Fall detection is one of the most promising applications of wearables in the field of
mobile health. The characterization of the effectiveness of wearable fall detectors is …

As a result of the challenge posed by demographic aging and the important personal and
medical costs associated to falls of elderly people, the study of automatic Fall Detection …

This paper defines two major data sets 1) from wearable inertial measurement sensors and
2) wearable ECG SHIMMER™ sensors. The first dataset is devised to benchmark …

Last decade has witnessed a major research interest on wearable fall detection systems.
Sampling rate in these detectors strongly affects the power consumption and required …

Stroke is one of the leading causes of long‐term disability worldwide, placing huge burdens
on individuals and society. Further, automatic human activity recognition is a challenging …