Paper Info
Title
Human movement detection using attitude and heading reference system
Abstract
Among different types of human movement, falls are the most important since they related with high social and economic costs. Falls can cause various unintentional injuries such as fractures or in the worst-case scenario even lead to death, elderly citizen. Wearable devices present a growing interest in health care applications since they can detect signals of human activity and continuously monitoring critical parameters, offering a reliable and inexpensive solution. In this paper, an attitude and heading reference system - inertial measurement unit (IMU) is used in order to detect human movement and especially different type of falls.
Year
DOI
Venue
2014
10.1145/2674396.2674454
PETRA
Keywords
Field
DocType
experimentation,security,human factors,life and medical sciences,measurement,healthcare applications,sensors,fall detection,performance
Health care,Simulation,Computer science,Attitude and heading reference system,Movement detection,Human–computer interaction,Inertial measurement unit,Economic cost,Wearable technology
Conference
Citations 
PageRank 
References 
1
0.35
10
Authors
2
Name
Order
Citations
PageRank
George Fourlas1253.18
Ilias Maglogiannis210.35