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  4. Gait Dynamic Stability Analysis with Wearable Assistive Robots
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Gait Dynamic Stability Analysis with Wearable Assistive Robots

Full metadata

Title
Gait Dynamic Stability Analysis with Wearable Assistive Robots
Description
Lower-limb wearable assistive robots could alter the users gait kinematics by inputting external power, which can be interpreted as mechanical perturbation to subject normal gait. The change in kinematics may affect the dynamic stability. This work attempts to understand the effects of different physical assistance from these robots on the gait dynamic stability.

A knee exoskeleton and ankle assistive device (Robotic Shoe) are developed and used to provide walking assistance. The knee exoskeleton provides personalized knee joint assistive torque during the stance phase. The robotic shoe is a light-weighted mechanism that can store the potential energy at heel strike and release it by using an active locking mechanism at the terminal stance phase to provide push-up ankle torque and assist the toe-off. Lower-limb Kinematic time series data are collected for subjects wearing these devices in the passive and active mode. The changes of kinematics with and without these devices on lower-limb motion are first studied. Orbital stability, as one of the commonly used measure to quantify gait stability through calculating Floquet Multipliers (FM), is employed to asses the effects of these wearable devices on gait stability. It is shown that wearing the passive knee exoskeleton causes less orbitally stable gait for users, while the knee joint active assistance improves the orbital stability compared to passive mode. The robotic shoe only affects the targeted joint (right ankle) kinematics, and wearing the passive mechanism significantly increases the ankle joint FM values, which indicates less walking orbital stability. More analysis is done on a mechanically perturbed walking public data set, to show that orbital stability can quantify the effects of external mechanical perturbation on gait dynamic stability. This method can further be used as a control design tool to ensure gait stability for users of lower-limb assistive devices.
Date Created
2018
Contributors
  • Rezayat Sorkhabadi, Seyed Mostafa (Author)
  • Zhang, Wenlong (Thesis advisor)
  • Lee, Hyunglae (Committee member)
  • Artemiadis, Panagiotis (Committee member)
  • Arizona State University (Publisher)
Topical Subject
  • Mechanical Engineering
  • robotics
  • Biomechanics
  • gait
  • Non-linear Dynamic Analysis
  • stability
  • wearable robots
Resource Type
Text
Genre
Masters Thesis
Academic theses
Extent
71 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
ASU Electronic Theses and Dissertations
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.50559
Level of coding
minimal
System Created
  • 2018-10-01 08:04:21
System Modified
  • 2021-08-26 09:47:01
  •     
  • 2 years 3 months ago
Additional Formats
  • OAI Dublin Core
  • MODS XML

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