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

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...

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Detalles Bibliográficos
Autores principales: Mehmood, Raja Majid, Lee, Hyo Jong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335943/
https://www.ncbi.nlm.nih.gov/pubmed/28208734
http://dx.doi.org/10.3390/s17020317
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author Mehmood, Raja Majid
Lee, Hyo Jong
author_facet Mehmood, Raja Majid
Lee, Hyo Jong
author_sort Mehmood, Raja Majid
collection PubMed
description 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.
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spelling pubmed-53359432017-03-16 Towards Building a Computer Aided Education System for Special Students Using Wearable Sensor Technologies Mehmood, Raja Majid Lee, Hyo Jong Sensors (Basel) Article 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. MDPI 2017-02-08 /pmc/articles/PMC5335943/ /pubmed/28208734 http://dx.doi.org/10.3390/s17020317 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mehmood, Raja Majid
Lee, Hyo Jong
Towards Building a Computer Aided Education System for Special Students Using Wearable Sensor Technologies
title Towards Building a Computer Aided Education System for Special Students Using Wearable Sensor Technologies
title_full Towards Building a Computer Aided Education System for Special Students Using Wearable Sensor Technologies
title_fullStr Towards Building a Computer Aided Education System for Special Students Using Wearable Sensor Technologies
title_full_unstemmed Towards Building a Computer Aided Education System for Special Students Using Wearable Sensor Technologies
title_short Towards Building a Computer Aided Education System for Special Students Using Wearable Sensor Technologies
title_sort towards building a computer aided education system for special students using wearable sensor technologies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335943/
https://www.ncbi.nlm.nih.gov/pubmed/28208734
http://dx.doi.org/10.3390/s17020317
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