EMG based elbow joint powered exoskeleton for biceps brachii strength augmentation
- Submitting institution
-
Middlesex University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1714
- Type
- E - Conference contribution
- DOI
-
10.1109/IJCNN.2015.7280643
- Title of conference / published proceedings
- Proceedings International Joint Conference on Neural Networks (IJCNN)
- First page
- 1
- Volume
- -
- Issue
- -
- ISSN
- 2161-4393
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2015
- URL
-
http://eprints.mdx.ac.uk/17369/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper describes the design and development of a low-cost elbow joint powered exoskeleton for human power augmentation controlled by Electromyography (EMG). An exoskeletal arm was developed, and testing showed the arm does not interfere with normal activity when unloaded, and gave the user improved lifting ability. The majority of the hardware was designed and developed at Middlesex from inexpensive components. The paper is significant because EMG is intuitively understandable for the exoskleton user and the exoskeleton can respond immediately to the user's intentions. This shows a practically usable system, and the possibility of significant further advances.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
