Facial expression recognition from webcam based on active shape models and support vector machines

被引：32

作者：

Lozano-Monasor, Elena ^{[1
]}

López, María T. ^{[1
,2
]}

Fernández-Caballero, Antonio ^{[1
,2
]}

Vigo-Bustos, Francisco ^{[2
]}

机构：

[1] Instituto de Investigación en Informática de Albacete (I3A), Albacete,02071, Spain

[2] Universidad de Castilla-La Mancha, Departamento de Sistemas Informáticos, Albacete,02071, Spain

来源：

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2014年 / 8868卷

关键词：

Face recognition - Emotion Recognition - Classification (of information);

D O I：

10.1007/978-3-319-13105-4_23

中图分类号：

学科分类号：

摘要：

This paper introduces an application that uses a webcam and aims to recognize emotions of an elderly from his/her facial expression in real-time. Six basic emotions (Happiness, Sadness, Anger, Fear, Disgust and Surprise) as well as a Neutral state are distinguished. Active shape models are applied for feature extraction, the Cohn-Kanade, JAFFE and MMI databases are used for training, and support vector machines (ν- SVM) are employed for facial expression classification. In the future, the application is thought to be the starting point to enhance the mood of the elderly by external stimuli. © Springer International Publishing Switzerland 2014.

引用

页码：147 / 154