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Walking propulsion generation in double stance by powered exoskeleton for paraplegics
- Source :
- Robotics and Autonomous Systems. 116:24-37
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- This paper introduces an electric Hyundai Medical Exoskeleton (H-MEX). It is specially designed to enable disabled people (e.g. spinal cord injury individuals below T10, stroke patients) to walk again, according to a basic walking control strategy. H-MEX is easily assembled with mechanically/electrically block-by-block connections, and its built-in control framework provides an unique control interface. Through this interface, the H-MEX wearer can customize gait parameters (viz., the step length, step period, and default torso tilt angle). With the proposed framework, trajectories for each active joint are planned for generating propulsion (i.e., angular momentum) in double-stance gait. This facilitates stability and convenience for H-MEX wearers. A dynamic simulation was conducted on a simplified planar model that describes an average human body: the intended propulsion generation during the double-stance phase was verified to lead to angular momentum with respect to a leading stance leg, for more stable and convenient step walking. Also, the degree of propulsion was shown to be adjusted by setting kinematic percentage of intended double-stance motion. The proposed control method was evaluated with five healthy subjects on a treadmill as one of initial performance tests: kinematic data on subjects’ torsos given from basic walking at a velocity of 0.7 km/h and 1.2 km/h indicated the effectiveness of the proposed control strategy.
- Subjects :
- 0209 industrial biotechnology
Computer science
General Mathematics
Interface (computing)
Powered exoskeleton
02 engineering and technology
Kinematics
Torso
Propulsion
Gait
Computer Science Applications
Exoskeleton
Dynamic simulation
03 medical and health sciences
020901 industrial engineering & automation
0302 clinical medicine
Gait (human)
medicine.anatomical_structure
Control and Systems Engineering
030220 oncology & carcinogenesis
medicine
Treadmill
Software
Simulation
Subjects
Details
- ISSN :
- 09218890
- Volume :
- 116
- Database :
- OpenAIRE
- Journal :
- Robotics and Autonomous Systems
- Accession number :
- edsair.doi...........864c6d97bb781f14d1fec869bf01c6b0
- Full Text :
- https://doi.org/10.1016/j.robot.2019.03.002