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

Yoshihiro Kato, Hikaru Nagano, Masashi Konyo, Satoshi Tadokoro

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルSII 2017 - 2017 IEEE/SICE International Symposium on System Integration
出版社Institute of Electrical and Electronics Engineers Inc.
ページ294-299
ページ数6
ISBN(電子版)9781538622636
DOI
出版ステータスPublished - 2018 2 1
イベント2017 IEEE/SICE International Symposium on System Integration, SII 2017 - Taipei, Taiwan, Province of China
継続期間: 2017 12 112017 12 14

出版物シリーズ

名前SII 2017 - 2017 IEEE/SICE International Symposium on System Integration
2018-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

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