Self-Learning Facial Emotional Feature Selection Based on Rough Set Theory
المؤلفون المشاركون
Wang, Guoyin
Kong, Hao
Yang, Yong
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2009، العدد 2009 (31 ديسمبر/كانون الأول 2009)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2009-07-15
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
Emotion recognition is very important for human-computer intelligent interaction.
It is generally performed on facial or audio information by artificial neural network, fuzzy set, support vector machine, hidden Markov model, and so forth.
Although some progress has already been made in emotion recognition, several unsolved issues still exist.
For example, it is still an open problem which features are the most important for emotion recognition.
It is a subject that was seldom studied in computer science.
However, related research works have been conducted in cognitive psychology.
In this paper, feature selection for facial emotion recognition is studied based on rough set theory.
A self-learning attribute reduction algorithm is proposed based on rough set and domain oriented data-driven data mining theory.
Experimental results show that important and useful features for emotion recognition can be identified by the proposed method with a high recognition rate.
It is found that the features concerning mouth are the most important ones in geometrical features for facial emotion recognition.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yang, Yong& Wang, Guoyin& Kong, Hao. 2009. Self-Learning Facial Emotional Feature Selection Based on Rough Set Theory. Mathematical Problems in Engineering،Vol. 2009, no. 2009, pp.1-16.
https://search.emarefa.net/detail/BIM-499257
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yang, Yong…[et al.]. Self-Learning Facial Emotional Feature Selection Based on Rough Set Theory. Mathematical Problems in Engineering No. 2009 (2009), pp.1-16.
https://search.emarefa.net/detail/BIM-499257
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yang, Yong& Wang, Guoyin& Kong, Hao. Self-Learning Facial Emotional Feature Selection Based on Rough Set Theory. Mathematical Problems in Engineering. 2009. Vol. 2009, no. 2009, pp.1-16.
https://search.emarefa.net/detail/BIM-499257
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-499257
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