Pneumatic Artificial Muscle Powered Exoskeleton
Author:
Affiliation:
1. Mechanical Engineering Dept., College of Engineering, Pune
2. Production Engineering Dept., College of Engineering, Pune
Publisher
ACM
Reference6 articles.
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2. Osaka Japan Osaka A Kilicarslan S Prasad RG Grossman High accuracy decoding of user intentions using EEG to control a lower-body exoskeleton. In: 2013 35th annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2013 5606 5609
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3. Research Methodology for Augmenting a Gait Cycle of Lower-Body Exoskeleton, by Using a Data of Mathematical Modeling and Motion Study of a Specific User While Obtaining a Customized Gait for Joint Actuation of Exoskeleton;Handbook of Smart Materials, Technologies, and Devices;2022
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