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Automatic individual calibration in fall detection: an integrative ambulatory measurement framework

Jian Liu and Thurmon Lockhart UGent (2013) COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING. 16(5). p.504-510
abstract
The objective of the current study was to demonstrate the utility of a new integrative ambulatory measurement (IAM) framework by developing and evaluating an individual calibration function in fall detection application. Ten healthy elderly persons were involved in a laboratory study and tested in a protocol comprising various types of activities of daily living and slip-induced backward falls. Inertial measurement units attached to the trunk and thigh segments were used to measure trunk angular kinematics and thigh accelerations. The effect of individual calibration was evaluated with previously developed fall detection algorithm. The results indicated that with individual calibration, the fall detection performance achieved approximately the same level of sensitivity (100% vs. 100%) and specificity (95.25% vs. 95.65%); however, response time was significantly lower than without (249ms vs. 255ms). It was concluded that the automatic individual calibration using the IAM framework improves the performance of fall detection, which has a greater implication in preventing/minimising injuries associated with fall accidents.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
fall intervention, slips and falls, fall detection, TRIAXIAL ACCELEROMETER, DAILY PHYSICAL-ACTIVITY, WALKING, SYSTEM, ORIENTATION, CLASSIFICATION, ambulatory measurement, SENSORS
journal title
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
Comput. Meth. Appl. Mech. Eng.
volume
16
issue
5
pages
504 - 510
Web of Science type
Article
Web of Science id
000319107700005
JCR category
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
JCR impact factor
1.793 (2013)
JCR rank
31/102 (2013)
JCR quartile
2 (2013)
ISSN
1025-5842
DOI
10.1080/10255842.2011.627329
language
English
UGent publication?
no
classification
A1
id
2019536
handle
http://hdl.handle.net/1854/LU-2019536
date created
2012-02-03 22:36:02
date last changed
2016-12-19 15:42:02
@article{2019536,
  abstract     = {The objective of the current study was to demonstrate the utility of a new integrative ambulatory measurement (IAM) framework by developing and evaluating an individual calibration function in fall detection application. Ten healthy elderly persons were involved in a laboratory study and tested in a protocol comprising various types of activities of daily living and slip-induced backward falls. Inertial measurement units attached to the trunk and thigh segments were used to measure trunk angular kinematics and thigh accelerations. The effect of individual calibration was evaluated with previously developed fall detection algorithm. The results indicated that with individual calibration, the fall detection performance achieved approximately the same level of sensitivity (100\% vs. 100\%) and specificity (95.25\% vs. 95.65\%); however, response time was significantly lower than without (249ms vs. 255ms). It was concluded that the automatic individual calibration using the IAM framework improves the performance of fall detection, which has a greater implication in preventing/minimising injuries associated with fall accidents.},
  author       = {Liu, Jian and Lockhart, Thurmon},
  issn         = {1025-5842},
  journal      = {COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING},
  keyword      = {fall intervention,slips and falls,fall detection,TRIAXIAL ACCELEROMETER,DAILY PHYSICAL-ACTIVITY,WALKING,SYSTEM,ORIENTATION,CLASSIFICATION,ambulatory measurement,SENSORS},
  language     = {eng},
  number       = {5},
  pages        = {504--510},
  title        = {Automatic individual calibration in fall detection: an integrative ambulatory measurement framework},
  url          = {http://dx.doi.org/10.1080/10255842.2011.627329},
  volume       = {16},
  year         = {2013},
}

Chicago
Liu, Jian, and Thurmon Lockhart. 2013. “Automatic Individual Calibration in Fall Detection: An Integrative Ambulatory Measurement Framework.” Computer Methods in Biomechanics and Biomedical Engineering 16 (5): 504–510.
APA
Liu, Jian, & Lockhart, T. (2013). Automatic individual calibration in fall detection: an integrative ambulatory measurement framework. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 16(5), 504–510.
Vancouver
1.
Liu J, Lockhart T. Automatic individual calibration in fall detection: an integrative ambulatory measurement framework. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING. 2013;16(5):504–10.
MLA
Liu, Jian, and Thurmon Lockhart. “Automatic Individual Calibration in Fall Detection: An Integrative Ambulatory Measurement Framework.” COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING 16.5 (2013): 504–510. Print.