Distinguishing Different Emotions Evoked by Music via Electroencephalographic Signals
المؤلفون المشاركون
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-03-06
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص EN
Music can evoke a variety of emotions, which may be manifested by distinct signals on the electroencephalogram (EEG).
Many previous studies have examined the associations between specific aspects of music, including the subjective emotions aroused, and EEG signal features.
However, no study has comprehensively examined music-related EEG features and selected those with the strongest potential for discriminating emotions.
So, this paper conducted a series of experiments to identify the most influential EEG features induced by music evoking different emotions (calm, joy, sad, and angry).
We extracted 27-dimensional features from each of 12 electrode positions then used correlation-based feature selection method to identify the feature set most strongly related to the original features but with lowest redundancy.
Several classifiers, including Support Vector Machine (SVM), C4.5, LDA, and BPNN, were then used to test the recognition accuracy of the original and selected feature sets.
Finally, results are analyzed in detail and the relationships between selected feature set and human emotions are shown clearly.
Through the classification results of 10 random examinations, it could be concluded that the selected feature sets of Pz are more effective than other features when using as the key feature set to classify human emotion statues.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Hou, Yimin& Chen, Shuaiqi. 2019. Distinguishing Different Emotions Evoked by Music via Electroencephalographic Signals. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1129410
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hou, Yimin& Chen, Shuaiqi. Distinguishing Different Emotions Evoked by Music via Electroencephalographic Signals. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-18.
https://search.emarefa.net/detail/BIM-1129410
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Hou, Yimin& Chen, Shuaiqi. Distinguishing Different Emotions Evoked by Music via Electroencephalographic Signals. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1129410
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1129410
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