Matches in SemOpenAlex for { <https://semopenalex.org/work/W92385297> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W92385297 endingPage "261" @default.
- W92385297 startingPage "249" @default.
- W92385297 abstract "Recognition of objects from EEG signals requires selection of appropriate feature extraction and classification techniques with best efficiency in terms of highest classification accuracy with lowest run time for its applications in real time. The objective of this paper is to analyze the performance of various feature extraction techniques and to choose that particular method which can be implemented in real time system with best efficiency. The EEG signals are acquired from subjects while they explored the objects visually and visuo-tactually. Thus acquired EEG signals are preprocessed followed by feature extraction using adaptive autoregressive (AAR) parameters, ensemble empirical mode decomposition (EEMD), approximate entropy (ApEn) and multi-fractal detrended fluctuation analysis (MFDFA). The performance of these features are analyzed in terms of their dimension, extraction time and also depending upon the classification results produced by three classifiers [Support Vector machine (SVM), Naïve Bayesian (NB), and Adaboost (Ada)] independently according to classification accuracy, sensitivity and classification times. The experimental results show that AAR parameter has an optimum dimension of 36 (not too large like EEMD i.e. 7,680 or too small like ApEn i.e. 6) and required minimum extraction as well as classification time of 0.59 and 0.008 s respectively. AAR also yielded highest maximum classification accuracy and sensitivity of 80.95 and 92.31 % respectively with NB classifier. Thus AAR parameters can be chosen for real time object recognition from EEG signal along with Naïve Bayesian classifier." @default.
- W92385297 created "2016-06-24" @default.
- W92385297 creator A5011667562 @default.
- W92385297 creator A5011939964 @default.
- W92385297 creator A5069088629 @default.
- W92385297 creator A5069544776 @default.
- W92385297 date "2015-01-01" @default.
- W92385297 modified "2023-09-27" @default.
- W92385297 title "Performance Analysis of Feature Extractors for Object Recognition from EEG Signals" @default.
- W92385297 cites W1595194775 @default.
- W92385297 cites W1982250103 @default.
- W92385297 cites W2071602085 @default.
- W92385297 cites W2077204677 @default.
- W92385297 cites W2091660209 @default.
- W92385297 cites W2093362058 @default.
- W92385297 cites W2109414107 @default.
- W92385297 cites W2125056386 @default.
- W92385297 cites W2131153423 @default.
- W92385297 cites W2134366790 @default.
- W92385297 cites W2151781490 @default.
- W92385297 cites W2161103583 @default.
- W92385297 cites W2534599926 @default.
- W92385297 cites W261832787 @default.
- W92385297 cites W4206246468 @default.
- W92385297 doi "https://doi.org/10.1007/978-81-322-2256-9_23" @default.
- W92385297 hasPublicationYear "2015" @default.
- W92385297 type Work @default.
- W92385297 sameAs 92385297 @default.
- W92385297 citedByCount "0" @default.
- W92385297 crossrefType "book-chapter" @default.
- W92385297 hasAuthorship W92385297A5011667562 @default.
- W92385297 hasAuthorship W92385297A5011939964 @default.
- W92385297 hasAuthorship W92385297A5069088629 @default.
- W92385297 hasAuthorship W92385297A5069544776 @default.
- W92385297 hasConcept C105795698 @default.
- W92385297 hasConcept C106301342 @default.
- W92385297 hasConcept C118552586 @default.
- W92385297 hasConcept C121332964 @default.
- W92385297 hasConcept C12267149 @default.
- W92385297 hasConcept C141404830 @default.
- W92385297 hasConcept C153180895 @default.
- W92385297 hasConcept C154945302 @default.
- W92385297 hasConcept C15744967 @default.
- W92385297 hasConcept C159877910 @default.
- W92385297 hasConcept C28490314 @default.
- W92385297 hasConcept C33923547 @default.
- W92385297 hasConcept C41008148 @default.
- W92385297 hasConcept C52001869 @default.
- W92385297 hasConcept C522805319 @default.
- W92385297 hasConcept C52622490 @default.
- W92385297 hasConcept C62520636 @default.
- W92385297 hasConcept C66696666 @default.
- W92385297 hasConcept C86859247 @default.
- W92385297 hasConcept C95623464 @default.
- W92385297 hasConceptScore W92385297C105795698 @default.
- W92385297 hasConceptScore W92385297C106301342 @default.
- W92385297 hasConceptScore W92385297C118552586 @default.
- W92385297 hasConceptScore W92385297C121332964 @default.
- W92385297 hasConceptScore W92385297C12267149 @default.
- W92385297 hasConceptScore W92385297C141404830 @default.
- W92385297 hasConceptScore W92385297C153180895 @default.
- W92385297 hasConceptScore W92385297C154945302 @default.
- W92385297 hasConceptScore W92385297C15744967 @default.
- W92385297 hasConceptScore W92385297C159877910 @default.
- W92385297 hasConceptScore W92385297C28490314 @default.
- W92385297 hasConceptScore W92385297C33923547 @default.
- W92385297 hasConceptScore W92385297C41008148 @default.
- W92385297 hasConceptScore W92385297C52001869 @default.
- W92385297 hasConceptScore W92385297C522805319 @default.
- W92385297 hasConceptScore W92385297C52622490 @default.
- W92385297 hasConceptScore W92385297C62520636 @default.
- W92385297 hasConceptScore W92385297C66696666 @default.
- W92385297 hasConceptScore W92385297C86859247 @default.
- W92385297 hasConceptScore W92385297C95623464 @default.
- W92385297 hasLocation W923852971 @default.
- W92385297 hasOpenAccess W92385297 @default.
- W92385297 hasPrimaryLocation W923852971 @default.
- W92385297 hasRelatedWork W1643345938 @default.
- W92385297 hasRelatedWork W2001916773 @default.
- W92385297 hasRelatedWork W2046826796 @default.
- W92385297 hasRelatedWork W2115218383 @default.
- W92385297 hasRelatedWork W2126100045 @default.
- W92385297 hasRelatedWork W2290928405 @default.
- W92385297 hasRelatedWork W2336974148 @default.
- W92385297 hasRelatedWork W2523271418 @default.
- W92385297 hasRelatedWork W2739596448 @default.
- W92385297 hasRelatedWork W3193301557 @default.
- W92385297 isParatext "false" @default.
- W92385297 isRetracted "false" @default.
- W92385297 magId "92385297" @default.
- W92385297 workType "book-chapter" @default.