The Development of Sensor-Based Gait Training System for Locomotive Syndrome: The Effect of Real-Time Gait Feature Feedback on Gait Pattern During Treadmill Walking

  • Hiroyuki HondaEmail author
  • Yoshiyuki Kobayashi
  • Akihiko Murai
  • Hiroshi Fujimoto
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 818)


The concept of locomotive syndrome was proposed by the Japanese Orthopedic Association; it typifies the condition of reduced mobility resulting from a locomotive organ disorder related to aging. Although several sensor-based gait training systems, which can feedback the gait features in real-time, have been developed for various musculoskeletal disorders, there are no such systems for locomotive syndrome. In this study, we reported how real-time locomotive syndrome related gait feature feedback effects on gait patterns during treadmill walking. 18 healthy participants were assigned into either intervention- or control-group. During 4 sessions (training-session, pre-intervention-session, intervention-session, and post-intervention-session), gait patterns were measured by a motion-capture system. During the intervention-session of the intervention-group, participants received LS-risk-scores made in this study. Meanwhile, they were asked to minimize the LS-risk-scores by modifying their knee joint motion. A two-way-repeated measure ANOVA was conducted on the LS-risk-scores to examine effects of the intervention. When interaction was found, paired t-tests were conducted on the LS-risk-scores and knee angles between the sessions respectively. As a result, the LS-risk-scores were significantly smaller (p < 0.05) during the post-intervention-session than the pre-intervention-session in the intervention-group. There were no significant differences on the LS-risk-scores between the sessions in the control-group. Further, in the intervention-group, significant differences (p < 0.05) were found between the sessions on the knee angles partially. There were no significant differences between the sessions on the knee angles in the control-group. These results indicate that people can alter their gait pattern if the LS-risk-scores are feedback in real-time.


Locomotive syndrome Real-time visual feedback Gait training 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Hiroyuki Honda
    • 1
    Email author
  • Yoshiyuki Kobayashi
    • 2
  • Akihiko Murai
    • 2
  • Hiroshi Fujimoto
    • 3
  1. 1.Graduate School of Human SciencesWaseda UniversityTokorozawaJapan
  2. 2.Digital Human Research Group, Human Informatics Research InstituteNational Institute of Advanced Industrial Science and TechnologyTokyoJapan
  3. 3.Faculty of Human SciencesWaseda UniversityTokorozawaJapan

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