R Igual, C Medrano, I Plaza - Biomedical engineering online, 2013 - Springer
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 …
Human Activity Recognition (HAR) systems are devised for continuously observing human behavior-primarily in the fields of environmental compatibility, sports injury detection, senior …
Research on fall and movement detection with wearable devices has witnessed promising growth. However, there are few publicly available datasets, all recorded with smartphones …
Falls are the leading cause of injury and death in elderly individuals. Unfortunately, fall detectors are typically based on wearable devices, and the elderly often forget to wear them …
Background Falls in elderly people are a major health burden, especially in the long-term care environment. Yet little objective evidence is available for how and why falls occur in this …
Falls are a serious public health problem and possibly life threatening for people in fall risk groups. We develop an automated fall detection system with wearable motion sensor units …
Background The traditional evaluation of gait in the laboratory during structured testing has provided important insights, but is limited by its “snapshot” character and observation in an …
T Xu, Y Zhou, J Zhu - Applied Sciences, 2018 - mdpi.com
Falling, as one of the main harm threats to the elderly, has drawn researchers' attentions and has always been one of the most valuable research topics in the daily health-care for the …
Y Cao, S Chen, P Hou, D Brown - 2015 IEEE international …, 2015 - ieeexplore.ieee.org
Fog computing is a recently proposed computing paradigm that extends Cloud computing and services to the edge of the network. The new features offered by fog computing (eg …