Human gait estimation using a reduced number of accelerometers

Jwu-Sheng Hu*, Kuan Chun Sun

*Corresponding author for this work

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

3 Scopus citations

Abstract

This study attempts to use two on-off switch sensors on feet and three tri-axis accelerometers, two in thigh and one in waist, to measure the hip angles and estimate the knee angles for a complete human gait signal acquisition. The human gait parameters like cadence, step length and walking speed are computed based on these information. For reduction of sensors for practical purpose, we focus on dynamic human gait estimation rather than stationary position. A simple dynamic model for legs is applied with two switch sensors to estimate knee angles. Stereo vision is used as a ground reference and parameters calibration for system model. A user interface for data analysis and monitoring is built to see the information such as the angle range of hip and the symmetry of two legs. We also apply a 3D virtual human model to present a real-time display of the human gait.

Original languageEnglish
Title of host publicationProceedings of SICE Annual Conference 2010, SICE 2010 - Final Program and Papers
PublisherSociety of Instrument and Control Engineers (SICE)
Pages1905-1909
Number of pages5
ISBN (Print)9784907764364
StatePublished - 1 Jan 2010

Publication series

NameProceedings of the SICE Annual Conference

Keywords

  • Accelerometers
  • Animation
  • Gait dynamics model
  • Human gait
  • SG method

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