This study aims to propose and implement a Fall Detection System (FDS) for the Elderly Activity Daily Living (ADL) based on the modified two-dimensional (2D) Light Detection and Ranging (LiDAR) method, inspired by slice feature on three-dimensional (3D) LiDAR data....
In this paper, a classification-based fall detection system is proposed. For this purpose, the SMotion data set was developed and categorized into two groups (age and weight groups). The proposed fall detection system for the elderly is implemented through a body area sensor network using third...
This paper proposes a vision-based fall detection system for the elderly and patients at home or in health-care institutions. The system uses an omni-directional camera to avoid blind spot. The system also considers practical environment... YC Huang 被引量: 8发表: 2009年 Automatic Fall Detect...
In contrast, a different set of criteria often comes into play when private individuals are looking for an in‑home fall detection system. Explaining what this type of customer is looking for, Lau said: “At public exhibitions, I meet individuals looking to bring what they can into a home ...
Fall detection systemWearable sensorsWBANSHIMMER sensorsMahalanobis distanceFall is one of the major cause of deaths in elderly along with other chronic diseases in all over the world. Therefore, it is important to find a cost effective, non-intrusive and lightweight solution for early fall ...
Fall detection system for elderly people using IoT and Big Data Falls represent a major public health risk worldwide for the elderly people. A fall not assisted in time can cause functional impairment in an elder and a ... D Yacchirema,JS De Puga,C Palau,... - 《Procedia Computer Scien...
elderly fall detectionobject detectionimage recognitionDue to advances in medical technology, the elderly population has continued to grow. Elderly healthcare issues have been widely discussed鈥攅specially fall accidents鈥攂ecause a fall can lead to a fracture and have serious consequences. Therefore, ...
Posture recognition algorithm for the elderly based on BP neural networks. In Proceedings of the 27th Chinese Control and Decision Conference (2015 CCDC), Qingdao, China, 23–25 May 2015. [Google Scholar] Wei, X. Research on the Falling Detection System for Elderly-assistant and Walking-...
The challenges of traditional fall detection The simplest way to find out if someone has fallen is to schedule regular visits to check in on them. But this is labor-intensive, and not necessarily effective, as someone could remain fallen and hurt for some time before they are discovered. ...
A wearable system based on MEMS technology has been envisioned to address the need for the detection of falls in the elderly. This paper presents the development of a low-power micro-machined threshold accelerometer (alternatively known as the G-switch) which is designed for use as impact ...