Fusion of Motif- and Spectrum-Related Features for Improved EEG-Based Emotion Recognition
المؤلفون المشاركون
Tiwari, Abhishek
Falk, Tiago H.
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-01-17
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Emotion recognition is a burgeoning field allowing for more natural human-machine interactions and interfaces.
Electroencephalography (EEG) has shown to be a useful modality with which user emotional states can be measured and monitored, particularly primitives such as valence and arousal.
In this paper, we propose the use of ordinal pattern analysis, also called motifs, for improved EEG-based emotion recognition.
Motifs capture recurring structures in time series and are inherently robust to noise, thus are well suited for the task at hand.
Several connectivity, asymmetry, and graph-theoretic features are proposed and extracted from the motifs to be used for affective state recognition.
Experiments with a widely used public database are conducted, and results show the proposed features outperforming benchmark spectrum-based features, as well as other more recent nonmotif-based graph-theoretic features and amplitude modulation-based connectivity/asymmetry measures.
Feature and score-level fusion suggest complementarity between the proposed and benchmark spectrum-based measures.
When combined, the fused models can provide up to 9% improvement relative to benchmark features alone and up to 16% to nonmotif-based graph-theoretic features.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tiwari, Abhishek& Falk, Tiago H.. 2019. Fusion of Motif- and Spectrum-Related Features for Improved EEG-Based Emotion Recognition. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1129405
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tiwari, Abhishek& Falk, Tiago H.. Fusion of Motif- and Spectrum-Related Features for Improved EEG-Based Emotion Recognition. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1129405
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tiwari, Abhishek& Falk, Tiago H.. Fusion of Motif- and Spectrum-Related Features for Improved EEG-Based Emotion Recognition. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1129405
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1129405
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر