Power Independent EMG Based Gesture Recognition for Robotics

Li, Ling, Looney, David, Park, Cheolsoo, Rehman, Naveed U., Mandic, Danilo P. (2011) Power Independent EMG Based Gesture Recognition for Robotics. In: Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE. . pp. 182-196. IEEE ISBN 978-1-4244-4121-1. E-ISBN 978-1-4577-1589-1. (doi:10.1109/IEMBS.2011.6090036) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30734)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL: http://dx.doi.org/10.1109/IEMBS.2011.6090036

Abstract

A robot control system using four different gestures from an arm is presented. This is achieved based on surface Electromyograph (EMG) measurements of groups of arm muscles. The cross-information is preserved through a simultaneous processing of EMG channels using a recent multivariate extension of Empirical Mode Decomposition (EMD). Next, phase synchrony measures are employed to make the system robust to different power levels due to electrode placements and impedances. The multiple pairwise muscle synchronies are used as features of a discrete gesture space comprising four gestures (flexion, extension, pronation, supination). Simulations on real-time robot control illustrate the enhanced accuracy and robustness of the proposed methodology.

Item Type:	Conference or workshop item (Paper)
DOI/Identification number:	10.1109/IEMBS.2011.6090036
Uncontrolled keywords:	biomedical electrodes; biomedical measurement; electromyography; gesture recognition; medical robotics; medical signal processing; real-time systems
Subjects:	Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User:	Caroline Li
Date Deposited:	21 Sep 2012 09:49 UTC
Last Modified:	16 Nov 2021 10:08 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/30734 (The current URI for this page, for reference purposes)

University of Kent Author Information

Li, Ling.

Creator's ORCID:	https://orcid.org/0000-0002-4026-0216
CReDIT Contributor Roles:

Depositors only (login required):

Altmetric

Total Views

Total unique views of this page since July 2020. For more details click on the image.