Assessment of waist-worn tri-axial accelerometer based fall-detection algorithms using continuous unsupervised activities

Annu Int Conf IEEE Eng Med Biol Soc. 2010:2010:2782-5. doi: 10.1109/IEMBS.2010.5626364.

Abstract

This study aims to evaluate a variety of existing and novel fall detection algorithms, for a waist mounted accelerometer based system. Algorithms were tested against a comprehensive data-set recorded from 10 young healthy subjects performing 240 falls and 120 activities of daily living and 10 elderly healthy subjects performing 240 scripted and 52.4 hours of continuous unscripted normal activities.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acceleration
  • Accidental Falls / prevention & control*
  • Activities of Daily Living
  • Aged
  • Aged, 80 and over
  • Algorithms*
  • Biomechanical Phenomena
  • Biomedical Engineering / methods
  • Equipment Design
  • False Positive Reactions
  • Female
  • Humans
  • Male
  • Monitoring, Ambulatory / methods*
  • Posture
  • Sensitivity and Specificity