Pre-impact fall detection using wearable sensor unit

Soonjae Ahn, Isu Shin, Bora Jeong, Youngho Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this study, we verified our pre-impact fall detection algorithm through a clinical trials using wearable sensor (accelerometer and gyro sensor) at waist. Forty male volunteers participated in the clinical trial (three types of falls and seven types of ADLs). Results show that falls could be detected with an average lead-time of 530ms before the impact occurs, with no false alarms (100% specificity) and no incorrect detects (100% sensitivity). Our algorithm for pre-impact fall detection with a wearable sensor unit could be very helpful to minimize fall risk.

Original languageEnglish
Title of host publicationBIODEVICES 2014 - 7th Int. Conference on Biomedical Electronics and Devices, Proceedings; Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014
PublisherSciTePress
Pages207-211
Number of pages5
ISBN (Print)9789897580130
DOIs
StatePublished - 2014
Externally publishedYes
Event7th International Conference on Biomedical Electronics and Devices, BIODEVICES 2014 - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014 - Angers, Loire Valley, France
Duration: Mar 3 2014Mar 6 2014

Publication series

NameBIODEVICES 2014 - 7th Int. Conference on Biomedical Electronics and Devices, Proceedings; Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014

Conference

Conference7th International Conference on Biomedical Electronics and Devices, BIODEVICES 2014 - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014
Country/TerritoryFrance
CityAngers, Loire Valley
Period03/3/1403/6/14

Keywords

  • Accelerometer
  • Gyro sensor
  • Pre-impact fall detection
  • Vertical angle

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