NDLI: Evaluation of classifier topologies for the real-time classification of simultaneous limb motions

Content Provider	IEEE Xplore Digital Library
Author	Ortiz-Catalan, M. Branemark, R. Hakansson, B.
Copyright Year	2013
Description	Author affiliation: Dept. of Orthopaedics, Sahlgrenska Univ. Hosp., Gothenburg, Sweden (Branemark, R.) \|\| Dept. of Signals & Syst., Chalmers Univ. of Technol., Gothenburg, Sweden (Ortiz-Catalan, M.; Hakansson, B.)
Abstract	The prediction of motion intent through the decoding of myoelectric signals has the potential to improve the functionally of limb prostheses. Considerable research on individual motion classifiers has been done to exploit this idea. A drawback with the individual prediction approach, however, is its limitation to serial control, which is slow, cumbersome, and unnatural. In this work, different classifier topologies suitable for the decoding of mixed classes, and thus capable of predicting simultaneous motions, were investigated in real-time. These topologies resulted in higher offline accuracies than previously achieved, but more importantly, positive indications of their suitability for real-time systems were found. Furthermore, in order to facilitate further development, benchmarking, and cooperation, the algorithms and data generated in this study are freely available as part of BioPatRec, an open source framework for the development of advanced prosthetic control strategies.
Starting Page	6651
Ending Page	6654
File Size	377903
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6611081
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Topology Real-time systems Accuracy Training Prosthetics Active appearance model Feature extraction
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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