Frame-Based Facial Expression Recognition Using Geometrical Features
المؤلفون المشاركون
al-Hamadi, Ayoub
Elzobi, Moftah
Niese, Robert
Saeed, Anwar
المصدر
Advances in Human-Computer Interaction
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-04-16
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
To improve the human-computer interaction (HCI) to be as good as human-human interaction, building an efficient approach for human emotion recognition is required.
These emotions could be fused from several modalities such as facial expression, hand gesture, acoustic data, and biophysiological data.
In this paper, we address the frame-based perception of the universal human facial expressions (happiness, surprise, anger, disgust, fear, and sadness), with the help of several geometrical features.
Unlike many other geometry-based approaches, the frame-based method does not rely on prior knowledge of a person-specific neutral expression; this knowledge is gained through human intervention and not available in real scenarios.
Additionally, we provide a method to investigate the performance of the geometry-based approaches under various facial point localization errors.
From an evaluation on two public benchmark datasets, we have found that using eight facial points, we can achieve the state-of-the-art recognition rate.
However, this state-of-the-art geometry-based approach exploits features derived from 68 facial points and requires prior knowledge of the person-specific neutral expression.
The expression recognition rate using geometrical features is adversely affected by the errors in the facial point localization, especially for the expressions with subtle facial deformations.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Saeed, Anwar& al-Hamadi, Ayoub& Niese, Robert& Elzobi, Moftah. 2014. Frame-Based Facial Expression Recognition Using Geometrical Features. Advances in Human-Computer Interaction،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-469835
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Saeed, Anwar…[et al.]. Frame-Based Facial Expression Recognition Using Geometrical Features. Advances in Human-Computer Interaction Vol. (2014), pp., pp.1-13.
https://search.emarefa.net/detail/BIM-469835
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Saeed, Anwar& al-Hamadi, Ayoub& Niese, Robert& Elzobi, Moftah. Frame-Based Facial Expression Recognition Using Geometrical Features. Advances in Human-Computer Interaction. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-469835
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-469835
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