Advanced search

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

Author
Organization
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.
Keywords
fall intervention, slips and falls, fall detection, TRIAXIAL ACCELEROMETER, DAILY PHYSICAL-ACTIVITY, WALKING, SYSTEM, ORIENTATION, CLASSIFICATION, ambulatory measurement, SENSORS

Citation

Please use this url to cite or link to this publication:

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.
@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},
}

Altmetric
View in Altmetric
Web of Science
Times cited: