To reduce the injury caused by the fall and solve the problems of low efficiency and low
accuracy of traditional fall prediction methods, an optimized BP neural network fall prediction
model based on the Sparrow Search Algorithm (SSA) is established. Taking sliding window
to extract discrete features, selecting the maximum value, minimum value, mean value, and
variance as the output indicator, the three-axis acceleration and resultant acceleration as the
input of influencing factors, the fall prediction model is established for error prediction after …

Falls are considered as one of the greatest risks and a fundamental problem in health-care
for older adults living alone at home. The number of older adults living alone in their own
homes is increasing worldwide due to the high expense of health care services. Therefore, it
is important to develop an accurate system with the ability to detect human falls during daily
activities. The focus of this study is to distinguish and detect human falls in Activities of Daily
Living (ADL) based on data acquired from an accelerometer device. In this paper, a novel …