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Sensors 2017, 17(2), 317; doi:10.3390/s17020317

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

1
Division of Computer Science and Engineering, Chonbuk National University, Jeonju 54896, Korea
2
Center for Advanced Image and Information Technology, Chonbuk National University, Jeonju 54896, Korea
*
Author to whom correspondence should be addressed.
Received: 21 November 2016 / Revised: 27 January 2017 / Accepted: 4 February 2017 / Published: 8 February 2017
(This article belongs to the Special Issue Multisensory Big Data Analytics for Enhanced Living Environments)
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Abstract

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. View Full-Text
Keywords: computer aided education; brain signal; EEG based emotion recognition; brain computer interface computer aided education; brain signal; EEG based emotion recognition; brain computer interface
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Mehmood, R.M.; Lee, H.J. Towards Building a Computer Aided Education System for Special Students Using Wearable Sensor Technologies. Sensors 2017, 17, 317.

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