Analysis of fall accident motion during walking using a lower-limb Exoskeleton robot

Kazuo Kiguchi, Kazuma Noda

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Fall accident often results in a serious damage to physically weak persons such as elderly persons. It is important to understand the mechanisms of human fall accident motion and recovery motion to prevent the fall accident. In order to study those mechanisms, external disturbance force is given to a walking person using a lower-limb exoskeleton robot to generate the falling accident motion on purpose and analyze the recovery motion in this study. By applying the lower-limb exoskeleton robot, any disturbance force can be added at any timing to the person during walking. The results of this study are used to provide the fall prevention algorithm in the lower-limb power-assist exoskeleton robot. Furthermore, the results could be used for physical training for elderly persons to prevent falling accident.

Original languageEnglish
Pages (from-to)1128-1133
Number of pages6
JournalInternational Journal of Mechanical Engineering and Robotics Research
Issue number8
Publication statusPublished - Aug 1 2020

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Mechanical Engineering
  • Artificial Intelligence


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