Automatic Individual Calibration in Fall Detection – an Integrative Ambulatory Measurement Framework

Details

• Personal Author:
  Liu J ; Lockhart TE
• Description:
  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 (249 ms vs. 255 ms). 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. [Description provided by NIOSH]
• Subjects:
  Accidental Falls Accidents Aging Biomechanical Phenomena Occupational Health Safety
• Keywords:
  Age Groups Author Keywords: Ambulatory Measurement Biomechanics Fall Detection Fall Intervention Injury Prevention Lower Extremities Slips, Trips, And Falls Slips And Falls STF
• ISSN:
  1476-8259
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  OSHA Region 3 ; OSHA Region 6 ; Texas ; Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  16
• Issue:
  5
• NIOSHTIC Number:
  nn:20055434
• Citation:
  Comput Methods Biomech Biomed Eng 2013 May; 16(5):504-510
• Contact Point Address:
  Jian Liu, Health and Human Performance, University of Houston, 104 GAR, 3855 Holman St., Houston, TX, 77204-6015, USA
• Email:
  jliu30@uh.edu
• Federal Fiscal Year:
  2013
• NORA Priority Area:
  Construction ; Services
• Performing Organization:
  Virginia Polytechnic Institute and State University
• Peer Reviewed:
  True
• Start Date:
  20090901
• Source Full Name:
  Computer Methods in Biomechanics and Biomedical Engineering
• End Date:
  20140831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:1203edebfe56a08856dba88c831399af46659d93da6bfb310ef21cca220f51117b564f2b67ee938d806b279f4cad0c82ced37445caeddc5e9adf437940841bf2
• Download URL:
  https://stacks.cdc.gov/view/cdc/213291/cdc_213291_DS1.pdf
• File Type:
  [PDF - 294.17 KB ]