Discriminative tandem features for hmm-based EEG classification
We investigate the use of discriminative feature extractors in tandem configuration with generative EEG classification system. Existing studies on dynamic EEG classification typically use hidden Markov models (HMMs) which lack discriminative capability. In this paper, a linear and a non-linear class...
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| Format: | Conference or Workshop Item |
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2013
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| _version_ | 1796859553276493824 |
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| author | Ting, Chee-Ming King, Simon Salleh, Sh-Hussain Ariff, A. K. |
| author_facet | Ting, Chee-Ming King, Simon Salleh, Sh-Hussain Ariff, A. K. |
| author_sort | Ting, Chee-Ming |
| collection | ePrints |
| description | We investigate the use of discriminative feature extractors in tandem configuration with generative EEG classification system. Existing studies on dynamic EEG classification typically use hidden Markov models (HMMs) which lack discriminative capability. In this paper, a linear and a non-linear classifier are discriminatively trained to produce complementary input features to the conventional HMM system. Two sets of tandem features are derived from linear discriminant analysis (LDA) projection output and multilayer perceptron (MLP) class-posterior probability, before appended to the standard autoregressive (AR) features. Evaluation on a two-class motor-imagery classification task shows that both the proposed tandem features yield consistent gains over the AR baseline, resulting in significant relative improvement of 6.2% and 11.2% for the LDA and MLP features respectively. We also explore portability of these features across different subjects. |
| first_indexed | 2024-03-05T19:28:52Z |
| format | Conference or Workshop Item |
| id | utm.eprints-50993 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T19:28:52Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | utm.eprints-509932017-07-11T04:18:24Z http://eprints.utm.my/50993/ Discriminative tandem features for hmm-based EEG classification Ting, Chee-Ming King, Simon Salleh, Sh-Hussain Ariff, A. K. QH Natural history We investigate the use of discriminative feature extractors in tandem configuration with generative EEG classification system. Existing studies on dynamic EEG classification typically use hidden Markov models (HMMs) which lack discriminative capability. In this paper, a linear and a non-linear classifier are discriminatively trained to produce complementary input features to the conventional HMM system. Two sets of tandem features are derived from linear discriminant analysis (LDA) projection output and multilayer perceptron (MLP) class-posterior probability, before appended to the standard autoregressive (AR) features. Evaluation on a two-class motor-imagery classification task shows that both the proposed tandem features yield consistent gains over the AR baseline, resulting in significant relative improvement of 6.2% and 11.2% for the LDA and MLP features respectively. We also explore portability of these features across different subjects. 2013 Conference or Workshop Item PeerReviewed Ting, Chee-Ming and King, Simon and Salleh, Sh-Hussain and Ariff, A. K. (2013) Discriminative tandem features for hmm-based EEG classification. In: 2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC). http://apps.webofknowledge.com.ezproxy.utm.my/full_record.do?product=WOS&search_mode=GeneralSearch&qid=5&SID=R2bDzISyUVdV24ggHTF&page=1&doc=1 |
| spellingShingle | QH Natural history Ting, Chee-Ming King, Simon Salleh, Sh-Hussain Ariff, A. K. Discriminative tandem features for hmm-based EEG classification |
| title | Discriminative tandem features for hmm-based EEG classification |
| title_full | Discriminative tandem features for hmm-based EEG classification |
| title_fullStr | Discriminative tandem features for hmm-based EEG classification |
| title_full_unstemmed | Discriminative tandem features for hmm-based EEG classification |
| title_short | Discriminative tandem features for hmm-based EEG classification |
| title_sort | discriminative tandem features for hmm based eeg classification |
| topic | QH Natural history |
| work_keys_str_mv | AT tingcheeming discriminativetandemfeaturesforhmmbasedeegclassification AT kingsimon discriminativetandemfeaturesforhmmbasedeegclassification AT sallehshhussain discriminativetandemfeaturesforhmmbasedeegclassification AT ariffak discriminativetandemfeaturesforhmmbasedeegclassification |