Falls are an important factor in significantly deteriorating quality of life of older adults,
consequently leading to both physical and psychological harm. A wearable-based fall …

The lack of fall data for the elderly is a challenging problem in the fall detection community.
To date, the fall and activities of daily life simulated by young people have been used in …

Efficient fall detection is significant for the elderly, persons with motor symptoms, and people
who perform risky actions, with four types of falling postures. However, most studies focused …

Falls are one of the main causes of injuries and even fatalities among the elderly. However,
few existing research on fall detection focuses on the supervision of the elderly …

The need for developing fall detecting systems has become increasingly important, since
older adults require a great care, especially in this matter. Falls are one of the most common …

Falls are one of the most common accidental injuries among elderly, which would cause
injuries such as bruises and fracture. The fall detection system can reduce injuries by …

The World Health Organization predicts that, by 2050, 400 million people will be aged 80
years or more. In Japan and Taiwan, many elderly persons have health problems but live …

In response to the low power consumption and high accuracy requirements of wearable fall
detection technology, a fall detection method based on threshold-based method (TBM) and …

The dissertation presents a method of vision-based model for detecting and classifying
human falls in video sequences. We used BlazePose to detect and extract 33 body …

Arduino based IOT device for septuagenarian fall detection has developed especially for the
elder peoples who are staying alone in home. If the old age peoples felt down in most of the …