Facial expression recognition for monitoring neurological disorders based on convolutional neural network

• Published in: Multimedia tools and applications Vol. 78; no. 22; pp. 31581 - 31603
• Main Authors: Yolcu, Gozde, Oztel, Ismail, Kazan, Serap, Oz, Cemil, Palaniappan, Kannappan, Lever, Teresa E., Bunyak, Filiz
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.11.2019; Springer Nature B.V
• Subjects: Artificial neural networks; Automation; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Disorders; Face recognition; Machine learning; Medical imaging; Medical personnel; Monitoring; Multimedia Information Systems; Neural networks; Neurological diseases; Neurological disorders; Object recognition; Special Purpose and Application-Based Systems; Verbal communication; Deep learning; Facial expression recognition; Facial component segmentation; Convolutional neural network

Facial expressions are a significant part of non-verbal communication. Recognizing facial expressions of people with neurological disorders is essential because these people may have lost a significant amount of their verbal communication ability. Such an assessment requires time consuming examinati...