A class selection method based on a partial Kullback-Leibler information measure for biological signal classification

Taro Shibanoki, Keisuke Shima, Takeshi Takaki, Toshio Tsuji, Akira Otsuka, Takaaki Chin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes a novel class selection method based on the Kullback-Leibler (KL) information measure and outlines its application to optimal motion selection for bioelectric signal classification. When a user has no experience of controlling devices using bioelectric signals, for instance controlling a prosthetic hand using EMG signals, it is well known that voluntary generation of such signals might be difficult, so that the classification issue of multiple motions thus becomes problematic as the number of motions increases. An effective selection method for motions (classes) is needed for accurate classification. In the proposed method, the probability density functions (pdfs) of measured data are estimated through learning involving a multidimensional probabilistic neural network (PNN) based on the KL information theory. A partial KL information measure is then defined to evaluate the contribution of each class for classification. Effective classes can be selected by eliminating ineffective ones based on the partial KL information one by one. In the experiments performed, the proposed method was applied to motion selection with three subjects, and effective classes were selected from all motions measured in advance. The average classification rate using selected motions under the proposed method was 92.5 ± 0.9 %. These outcomes indicate that the proposed method can be used to select effective motions for accurate classification.

Original languageEnglish
Title of host publication2010 IEEE/SICE International Symposium on System Integration
Subtitle of host publicationSI International 2010 - The 3rd Symposium on System Integration, SII 2010, Proceedings
Pages317-322
Number of pages6
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event3rd International Symposium on System Integration, SII 2010 - Sendai, Japan
Duration: Dec 21 2010Dec 22 2010

Publication series

Name2010 IEEE/SICE International Symposium on System Integration: SI International 2010 - The 3rd Symposium on System Integration, SII 2010, Proceedings

Conference

Conference3rd International Symposium on System Integration, SII 2010
Country/TerritoryJapan
CitySendai
Period12/21/1012/22/10

ASJC Scopus subject areas

  • Control and Systems Engineering

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