Assessment of human walking stability using the gait sensitivity norm with wearable sensors

Hirotoshi Masuda, Kaiki Fukutoku, Toshiyuki Murakami

研究成果: Conference contribution

抄録

Quantifying walking stability is needed in order to evaluate the various walking assist methods. It can also allow the planning of individualized interventions for elderly people or patients with disorders. The Gait Sensitivity Norm (GSN) is a new measure of the walking stability developed for passive dynamic walkers and has been reported to show a strong correlation with the fall risk. The GSN is a method based on the idea of the H2 norm, which allows us to know the dynamic response of the system of walkers by measuring the impulse response. The reliability of the GSN quantification has been confirmed in passive dynamic walkers and neuromusculoskeletal walking models. However, it has not yet been applied to humans. In this paper, we proposed a method to apply the GSN to the analysis of human walking. To apply the GSN to a human gait, wearable sensors were used to analyze human walking. The validity of quantifying gait stability with the GSN is assessed in the experiments comparing abnormal walker (with some weight or blindfold) and normal walkers. The result is consistent with the intuitive idea that blind walking is more unstable than normal walking.

本文言語English
ホスト出版物のタイトル2021 IEEE International Conference on Mechatronics, ICM 2021
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728144429
DOI
出版ステータスPublished - 2021 3 7
イベント2021 IEEE International Conference on Mechatronics, ICM 2021 - Kashiwa, Japan
継続期間: 2021 3 72021 3 9

出版物シリーズ

名前2021 IEEE International Conference on Mechatronics, ICM 2021

Conference

Conference2021 IEEE International Conference on Mechatronics, ICM 2021
国/地域Japan
CityKashiwa
Period21/3/721/3/9

ASJC Scopus subject areas

  • 人工知能
  • 機械工学
  • 制御と最適化

フィンガープリント

「Assessment of human walking stability using the gait sensitivity norm with wearable sensors」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル