Fall detection (FD) systems are crucial for identifying falls and ensuring timely assistance,
thus reducing the risk of serious injuries. With the development of society and increasing …

In recent years, lower limb exoskeletons (LLEs) have received much attention due to the
potential to help people with paraplegia regain the ability of upright-legged locomotion …

Fall detection and prevention are crucial in elderly healthcare and humanoid robotic
research as they help mitigate the damaging after-effects of falls. In this work, we have …

Falls are a major public health problem in a rapidly aging society due to their high
prevalence and severe consequences among the older population. Therefore, automatic fall …

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 …

Due to the ever growing population of elderly people, there is a dramatic increase in fall
accidents. Currently, multiple ideas exist to prevent the elderly from falling, by means of …

Fall accidents are critical issues in an aging and aged society. Recently, many researchers
developed" pre-impact fall detection systems" using deep learning to support wearable …

This study aims to comprehensively compare the accuracy and practicality of three different
types of algorithms for pre-impact fall detection using both young and old subjects …

Human Activity Recognition (HAR) is a well-studied field with research dating back to the
1980s. Over time, HAR technologies have evolved significantly from manual feature …

Falls represent a significant health concern for the elderly. While studies on deep learning-
based preimpact fall detection have been conducted to mitigate fall-related injuries …