Output details
11 - Computer Science and Informatics
University of Plymouth
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Output 0 of 0 in the submission
Article title
Classification of Finger Movements for the Dexterous Hand Prosthesis Control with Surface Electromyography
Type
D - Journal article
Title of journal
IEEE Journal of Biomedical and Health Informatics
Article number
3
Volume number
17
Issue number
9
First page of article
608
ISSN of journal
1089-7771
Year of publication
2013
Number of additional authors
3
Additional information
<28>The method for the classification of finger movements enables a higher accuracy than existing methods, a larger number of actions recognized per electrode and for the first time identifies thumb abduction. New tests conducted on a large number of amputees show that a high performance can be achieved by an individualised tuning of the set of movements available. This work is a step towards enabling manufacturer of prosthetic hands to offer more capable dextrous hands. The paper is one of the 25 most popular articles of the journal since its publication, for over 6 month in a row in 2013.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
2
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
