Falls are the primary cause of accidents for the elderly in living environment. Falls frequently
cause fatal and non-fatal injuries that are associated with a large amount of medical costs …

The danger of falling among the elderly is a public concern and is becoming an important
issue that needs further attention. Sensors embedded in smartphones provide information …

This work presents a fall detection system based on artificial intelligence. The system
incorporates miniature wearable devices for fall detection. Fall detection is achieved by …

Falling is a severe hazard among older adults. Fall treatment is considered to be one of the
most costly treatments, which usually extends to a long time. One bad fall can cause severe …

Falling is a serious issue among old aged population; it leads to severe injuries and
consequences. Inability to move after a fall means that the subject cannot ask for help by …

A number of organizations, both medical and non-medical, have adopted assistive
technology, such as medical wireless wristbands and fall detection devices. Most research …

Wearable sensor systems composed of small and light sensing nodes have the potential to
revolutionise healthcare. While uptake has increased over time in a variety of application …

A real-time fall detection system monitors the daily activity of especially elderly people to
enlist someone's help as fast as possible in case of emergency. This paper presents a new …

Falling is often accepted as a natural part of the aging process Elderly people are typically,
more unsteady and frailer. Thus are more likely to fall and be injured than younger …

For a supervised machine-learning based fall-detection approach, data segmentation is
needed to split the data sequence into several segments. Then features are extracted from …