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A Controller for Guiding Leg Movement During Overground Walking With a Lower Limb Exoskeleton
- Source :
- IEEE Transactions on Robotics. 34:183-193
- Publication Year :
- 2018
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2018.
-
Abstract
- This paper describes a lower limb exoskeleton control approach that facilitates a desired movement coordination between the hip and knee joints during the swing phase of gait. An important feature of the proposed controller is that it provides movement guidance while allowing a user to control step time and step length. Specifically, control of step time is enabled by the use of time-invariant movement constraints, while control of step length is enabled by a real-time path-planning feature. As such, the controller provides movement coordination, but still enables a user to retain the step-to-step variability required to maintain balance during walking. The controller was implemented on a lower limb exoskeleton and tested on five healthy subjects. The subjects walked overground in the exoskeleton without a stability aid under two conditions: with the proposed coordination controller (i.e., with sagittal plane movement constraints) and with no control implemented (i.e., without sagittal plane movement constraints). Data from these assessments indicate that the controller provided substantial movement coordination while still allowing subjects substantive control of step time and length across a range of walking speeds.
- Subjects :
- 030506 rehabilitation
0209 industrial biotechnology
Robot kinematics
Movement (music)
Computer science
02 engineering and technology
Sagittal plane
Computer Science Applications
Exoskeleton
Preferred walking speed
03 medical and health sciences
020901 industrial engineering & automation
Gait (human)
medicine.anatomical_structure
Control and Systems Engineering
Control theory
medicine
Electrical and Electronic Engineering
0305 other medical science
human activities
Balance (ability)
Subjects
Details
- ISSN :
- 19410468 and 15523098
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Robotics
- Accession number :
- edsair.doi...........8413dd4e67e03ab16f71fa7eff3e3020
- Full Text :
- https://doi.org/10.1109/tro.2017.2768035