EMG based elbow joint powered exoskeleton for biceps brachii strength augmentation

Krasin, Vladimir, Gandhi, Vaibhav ORCID: https://orcid.org/0000-0003-1121-7419, Yang, Zhijun ORCID: https://orcid.org/0000-0003-2615-4297 and Karamanoglu, Mehmet ORCID: https://orcid.org/0000-0002-5049-2993 (2015) EMG based elbow joint powered exoskeleton for biceps brachii strength augmentation. Neural Networks (IJCNN), 2015 International Joint Conference on. In: International Joint Conference on Neural Networks (IJCNN 2015), 12-17 Jul 2015, Killarney, Republic of Ireland. ISBN 9781479919598. [Conference or Workshop Item]

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Electromyography (EMG) signals can be used to integrate with machines and form one assistive system such as a powered exoskeleton. This paper focuses on the design and development of a low-cost elbow joint powered exoskeleton for human power augmentation, controlled by the EMG. Majority of the hardware has been designed and developed in-house, without using expensively available hardware. A theoretical investigation starting from late 1960s up to 2014 has been carried out. A comparison of actuators and control systems that are commonly used for exoskeletons has been carried out in order to decide on the most suitable hardware for the proposed project. Area of EMG was investigated in detail as this type of exoskeleton control is intuitively understandable for the user; also it gives advantage of immediate response of a system to the user’s intentions to perform actions. Prototype tests proved the potential of using EMG to control robotic devices, but also showed that because of the nature of this type of non-stationary signal (EMG), it is also a challenge to be processed.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology
A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 17369
Notes on copyright: Access to full text restricted pending copyright check.
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Depositing User: Vaibhav Gandhi
Date Deposited: 12 Aug 2015 09:41
Last Modified: 07 Aug 2019 23:08
URI: https://eprints.mdx.ac.uk/id/eprint/17369

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