Towards Building a Computer Aided Education System for Special Students Using Wearable Sensor Technologies

• Main Authors: Raja Majid Mehmood, Hyo Jong Lee
• Format: Article
• Language: English
• Published: MDPI AG 2017-02-01
• Series: Sensors
• Subjects: computer aided education; brain signal; EEG based emotion recognition; brain computer interface
• Online Access: http://www.mdpi.com/1424-8220/17/2/317

Human computer interaction is a growing field in terms of helping people in their daily life to improve their living. Especially, people with some disability may need an interface which is more appropriate and compatible with their needs. Our research is focused on similar kinds of problems, such as students with some mental disorder or mood disruption problems. To improve their learning process, an intelligent emotion recognition system is essential which has an ability to recognize the current emotional state of the brain. Nowadays, in special schools, instructors are commonly use some conventional methods for managing special students for educational purposes. In this paper, we proposed a novel computer aided method for instructors at special schools where they can teach special students with the support of our system using wearable technologies.