Paper Info
Title
Ambulatory Mobility Characterization Using Body Inertial Systems: An Application to Fall Detection
Abstract
The aim of this paper is to study the use of a prototype of wearable device for long term monitoring of gait and balance using inertial sensors. First, it is focused on the design of the device that can be used all day during the patient daily life activities, because it is small, usable and non invasive. Secondly, we present the system calibration to ensure the quality of the sensors data. Afterwodrs, we focus in the experimental methodology for data harvest from extensive types of falls. Finally a statistical analysis allows us to determine the discriminant information to detect falls.
Year
DOI
Venue
2009
10.1007/978-3-642-02478-8_141
Lecture Notes in Computer Science
Keywords
Field
DocType
fall detection,wearable device,extensive type,body inertial systems,data harvest,inertial sensor,long term monitoring,sensors data,experimental methodology,discriminant information,patient daily life activity,ambulatory mobility characterization,non invasive,statistical analysis
USable,Gait,Wearable computer,Computer science,Simulation,Fall risk,Inertial measurement unit,Calibration,Statistical analysis,Inertial systems
Conference
Volume
ISSN
Citations 
5517
0302-9743
2
PageRank 
References 
Authors
0.50
9
4
Name
Order
Citations
PageRank
Marc Torrent1426.61
Alan Bourke2616.77
Xavier Parra352923.12
Andreu Català423426.75