Genetic ensemble biased ARTMAP method of ECG-Based emotion classification
This study is an attempt to design a method for an autonomous pattern classification and recognition system for emotion recognition. The proposed system utilizes Biased ARTMAP for pattern learning and classification. The ARTMAP system is dependent on training sequence presentation to determine the e...
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my.um.eprints.140902015-09-22T00:05:42Z http://eprints.um.edu.my/14090/ Genetic ensemble biased ARTMAP method of ECG-Based emotion classification Loo, C.K. Liew, W.S. Sayeed, M.S. T Technology (General) This study is an attempt to design a method for an autonomous pattern classification and recognition system for emotion recognition. The proposed system utilizes Biased ARTMAP for pattern learning and classification. The ARTMAP system is dependent on training sequence presentation to determine the effectiveness of the learning processes, as well as the strength of the biasing parameter, lambda λ. The optimal combination of λ and training sequence can be computed efficiently using a genetic permutation algorithm. The best combinations were selected to train individual ARTMAPs as voting members, and the final class predictions were determined using probabilistic ensemble voting strategy. Classification performance can be improved by implementing a reliability threshold for training data. Reliability metric for each training sample was computed from the current voter output, and unreliable training samples were excluded from the performance calculation. Individual emotional states are highly variable and are subject to evolution from personal experiences. For this reason, the above system is designed to be able to perform learning and classification in real-time to account for inter-individual and intra-individual emotional drift over time. 2012-05 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.um.edu.my/14090/1/00140299.pdf Loo, C.K. and Liew, W.S. and Sayeed, M.S. (2012) Genetic ensemble biased ARTMAP method of ECG-Based emotion classification. In: International Conference on Intelligent Interactive Multimedia Systems and Services, 23-25 May 2012, Gifu, Japan. |
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T Technology (General) Loo, C.K. Liew, W.S. Sayeed, M.S. Genetic ensemble biased ARTMAP method of ECG-Based emotion classification |
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This study is an attempt to design a method for an autonomous pattern classification and recognition system for emotion recognition. The proposed system utilizes Biased ARTMAP for pattern learning and classification. The ARTMAP system is dependent on training sequence presentation to determine the effectiveness of the learning processes, as well as the strength of the biasing parameter, lambda λ. The optimal combination of λ and training sequence can be
computed efficiently using a genetic permutation algorithm. The best combinations were selected to train individual ARTMAPs as voting members, and the final class predictions were determined using probabilistic ensemble voting strategy. Classification performance can be improved by implementing a reliability threshold for training data. Reliability metric for each training sample was computed
from the current voter output, and unreliable training samples were excluded from the performance calculation. Individual emotional states are highly variable and
are subject to evolution from personal experiences. For this reason, the above system is designed to be able to perform learning and classification in real-time to account for inter-individual and intra-individual emotional drift over time. |
format |
Conference or Workshop Item |
author |
Loo, C.K. Liew, W.S. Sayeed, M.S. |
author_facet |
Loo, C.K. Liew, W.S. Sayeed, M.S. |
author_sort |
Loo, C.K. |
title |
Genetic ensemble biased ARTMAP method of ECG-Based emotion classification |
title_short |
Genetic ensemble biased ARTMAP method of ECG-Based emotion classification |
title_full |
Genetic ensemble biased ARTMAP method of ECG-Based emotion classification |
title_fullStr |
Genetic ensemble biased ARTMAP method of ECG-Based emotion classification |
title_full_unstemmed |
Genetic ensemble biased ARTMAP method of ECG-Based emotion classification |
title_sort |
genetic ensemble biased artmap method of ecg-based emotion classification |
publishDate |
2012 |
url |
http://eprints.um.edu.my/14090/1/00140299.pdf http://eprints.um.edu.my/14090/ |
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13.19449 |