Cannan, James AR and Hu, Huosheng (2011) Automatic Circumference Measurement for Aiding in the Estimation of Maximum Voluntary Contraction (MVC) in EMG Systems. In: UNSPECIFIED, ? - ?.
Cannan, James AR and Hu, Huosheng (2011) Automatic Circumference Measurement for Aiding in the Estimation of Maximum Voluntary Contraction (MVC) in EMG Systems. In: UNSPECIFIED, ? - ?.
Cannan, James AR and Hu, Huosheng (2011) Automatic Circumference Measurement for Aiding in the Estimation of Maximum Voluntary Contraction (MVC) in EMG Systems. In: UNSPECIFIED, ? - ?.
Abstract
Maximum Voluntary Contraction(MVC) is frequently used in human machine muscle interfaces, especially the ones using Electromyography(EMG) and Acousticmyography(AMG). In some cases MVC alone is enough to adapt a system from one user to another, which could potentially create a simple system that any user could instantly use with minimal training and calibration. This research work evaluates the usefulness of automating circumference measurement for estimating MVC thereby reducing the need for training and calibration. A preliminary implementation of a circumference measuring armband is presented to demonstrate the feasibility and performance of this technology. © 2011 Springer-Verlag.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | Published proceedings: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Uncontrolled Keywords: | Human Machine Interfaces( HMI); Electromyography (EMG); Acousticmyography (AMG); Circumference; Maximum Voluntary Contraction (MVC); Bionics; Auto Calibration |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 19 Jan 2015 13:42 |
Last Modified: | 30 Oct 2024 16:50 |
URI: | http://repository.essex.ac.uk/id/eprint/9177 |