Wearable gait logging system attached on ankles to estimate foot steps and trajectories

Yoshihiro Kato, Hikaru Nagano, Masashi Konyo, Satoshi Tadokoro

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

1 Citation (Scopus)

Abstract

Conventional pedestrian dead-reckoning systems that use shoe-mounted inertial sensors are not suitable for use in daily life. For example, such systems are not convenient because they compel individuals to wear such pairs of shoes; moreover, these systems are not suitable for use in barefoot conditions. A novel gait logging system is proposed to estimate foot steps and walking trajectories using a combination of high frequency vibration and inertial measurements from the upper part of the ankle. First, a three-step method is proposed to estimate Heel Strike and Toe Off. It is verified that the present method is suitable for estimating Midstance (MSt) time. Then, a trajectory and position estimation procedure is proposed that considers the MSt ankle velocity. A model for MSt ankle velocity is derived. The performance of the trajectory estimation is evaluated with various types of footwear. It is verified that the proposed method is suitable for estimating step lengths of each stride and total distance regardless of the footwear. Furthermore, the trajectories estimated using the proposed method approximated the actual walking path with high accuracy.

Original languageEnglish
Title of host publicationSII 2017 - 2017 IEEE/SICE International Symposium on System Integration
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages294-299
Number of pages6
ISBN (Electronic)9781538622636
DOIs
Publication statusPublished - 2018 Feb 1
Event2017 IEEE/SICE International Symposium on System Integration, SII 2017 - Taipei, Taiwan, Province of China
Duration: 2017 Dec 112017 Dec 14

Publication series

NameSII 2017 - 2017 IEEE/SICE International Symposium on System Integration
Volume2018-January

Other

Other2017 IEEE/SICE International Symposium on System Integration, SII 2017
CountryTaiwan, Province of China
CityTaipei
Period17/12/1117/12/14

ASJC Scopus subject areas

  • Modelling and Simulation
  • Instrumentation
  • Artificial Intelligence
  • Computer Science Applications
  • Engineering (miscellaneous)
  • Materials Science (miscellaneous)
  • Control and Optimization

Fingerprint Dive into the research topics of 'Wearable gait logging system attached on ankles to estimate foot steps and trajectories'. Together they form a unique fingerprint.

Cite this