In this paper we propose a wireless wearable device for real-time fall detection attached to the ankle user. This device can also be embedded inside the footwear with similar performance and a lower invasiveness of use. It contains a 3-axis accelerometer, a 3-axis gyroscope and a 3-axis magnetometer realizing an Attitude Heading Reference System (AHRS). The AHRS provides the correct 3D orientation through an implemented data fusion algorithm. On sensor board is also implemented the automatic fall detection algorithm handling the orientation data from AHRS and the acceleration data from the triaxial accelerometer. The fall is a critical event that can cause physical and psychological effects particularly among older people. The elderly timel...
Falls are one of the major causes of injury in elderly people over 65 years. Each year, 2.5 million ...
Today's life expectancy is becoming higher and higher thanks to the development of medical technolog...
Physical activity monitoring using wearable sensors give valuable information about patient\u27s neu...
In this paper we propose a wireless wearable device for real-time fall detection attached to the ank...
Automatic fall detection is an active research area since several years. Basically, this is motivate...
Abstract: In this paper, we observe the physical condition of elderly people or patients in persona...
Accidental falls in a domestic environment are the main cause of casualty among older people. A very...
The governments are investing in research on solutions for independent living, active ageing, at hom...
Falls are a very dangerous situation especially among elderly people, because they may lead to fract...
In the last few decades, continuous monitoring of human movements has become possible thanks to the ...
Falls are critical events among elderly people that requires timely rescue. In this paper, we propos...
The aim of this project is to develop a stand-alone wearable body sensor network with the primary ai...
This thesis aims at developing a prototype for a fall detection bracelet that can connect to the cel...
Fall detection is a major challenge in the public healthcare domain, especially for the elderly as t...
This paper presents the development of Fall Detection System in the form of a wearable device integr...
Falls are one of the major causes of injury in elderly people over 65 years. Each year, 2.5 million ...
Today's life expectancy is becoming higher and higher thanks to the development of medical technolog...
Physical activity monitoring using wearable sensors give valuable information about patient\u27s neu...
In this paper we propose a wireless wearable device for real-time fall detection attached to the ank...
Automatic fall detection is an active research area since several years. Basically, this is motivate...
Abstract: In this paper, we observe the physical condition of elderly people or patients in persona...
Accidental falls in a domestic environment are the main cause of casualty among older people. A very...
The governments are investing in research on solutions for independent living, active ageing, at hom...
Falls are a very dangerous situation especially among elderly people, because they may lead to fract...
In the last few decades, continuous monitoring of human movements has become possible thanks to the ...
Falls are critical events among elderly people that requires timely rescue. In this paper, we propos...
The aim of this project is to develop a stand-alone wearable body sensor network with the primary ai...
This thesis aims at developing a prototype for a fall detection bracelet that can connect to the cel...
Fall detection is a major challenge in the public healthcare domain, especially for the elderly as t...
This paper presents the development of Fall Detection System in the form of a wearable device integr...
Falls are one of the major causes of injury in elderly people over 65 years. Each year, 2.5 million ...
Today's life expectancy is becoming higher and higher thanks to the development of medical technolog...
Physical activity monitoring using wearable sensors give valuable information about patient\u27s neu...