An on-node processing approach for anomaly detection in gait

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Title: An on-node processing approach for anomaly detection in gait
Authors: Cola, G
Avvenuti, M
Vecchio, A
Yang, G-Z
Lo, B
Item Type: Journal Article
Issue Date: 5-Aug-2015
Date of Acceptance: 20-Jul-2015
URI: http://hdl.handle.net/10044/1/31514
DOI: http://dx.doi.org/10.1109/JSEN.2015.2464774
ISSN: 1558-1748
Publisher: IEEE
Start Page: 6640
End Page: 6649
Journal / Book Title: IEEE Sensors Journal
Volume: 15
Issue: 11
Copyright Statement: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/H009744/1
EP/K503733/1
EP/L014149/1
Keywords: Science & Technology
Technology
Physical Sciences
Engineering, Electrical & Electronic
Instruments & Instrumentation
Physics, Applied
Engineering
Physics
Activity monitoring
anomaly detection
fall risk assessment
gait analysis
wearable sensors
FALL RISK-ASSESSMENT
OLDER-ADULTS
COGNITIVE IMPAIRMENT
HUMAN MOVEMENT
SENSORS
SYSTEM
ACCELEROMETER
PARAMETERS
RECOGNITION
GYROSCOPES
Analytical Chemistry
0906 Electrical And Electronic Engineering
0913 Mechanical Engineering
Publication Status: Published
Appears in Collections:Division of Surgery
Computing
Faculty of Medicine



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