Gait analysis for detecting a leg accident with an accelerometer

T. Yoshida, F. Mizuno, T. Hayasaka, K. Tsubota, S. Wada, T. Yamaguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Citations (Scopus)

Abstract

We analyzed an acceleration pattern during natural walking and walking hampered by wearing weights to predict falls. These two types of walking could be distinguished with a peak at the half of the principal frequency of the gait in anterior movement We measured walking while wearing each individual hampering weight and then analyzed. The peak was bigger when a subject wore the hampering weight that was restrictive and made the body unbalanced. As leg accidents are considered to occur with a change of the body balance, our system may be used to detect a leg accident by checking the peak at the half of the principal frequency of the gait in anterior movement

Original languageEnglish
Title of host publicationConference Proceedings - 1st Transdisciplinary Conference on Distributed Diagnosis and Home Healthcare, D2H2 2006
Pages43-46
Number of pages4
DOIs
Publication statusPublished - 2006 Nov 14
Event1st Transdisciplinary Conference on Distributed Diagnosis and Home Healthcare, D2H2 2006 - Arlington, VA, United States
Duration: 2006 Apr 22006 Apr 4

Publication series

NameConference Proceedings - 1st Transdisciplinary Conference on Distributed Diagnosis and Home Healthcare, D2H2 2006
Volume2006

Conference

Conference1st Transdisciplinary Conference on Distributed Diagnosis and Home Healthcare, D2H2 2006
Country/TerritoryUnited States
CityArlington, VA
Period06/4/206/4/4

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint

Dive into the research topics of 'Gait analysis for detecting a leg accident with an accelerometer'. Together they form a unique fingerprint.

Cite this