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

Collection with item attached
2017
Item details URL
http://open-repository.kisti.re.kr/cube/handle/open_repository/486365.do
DOI
10.3390/s17020317
Title
Towards Building a Computer Aided Education System for Special StudentsUsing Wearable Sensor Technologies
Description
This work was supported by the Brain Korea 21 PLUS Project, NationalResearch Foundation of Korea, MSIP (Ministry of Science, ICT and FuturePlanning), Korea, under the ITRC (Information Technology ResearchCenter) support program (IITP-2016-R0992-16-1023) supervised by the IITP(Institute for Information & communications Technology Promotion). Thisresearch was also supported by Basic Science Research Program throughthe National Research Foundation of Korea (NRF) funded by the Ministryof Education (GR 2016R1D1A3B03931911).
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.
provenance
Made available in Cube on 2018-09-28T16:05:39Z (GMT). No. of bitstreams: 0
language
English
author
Mehmood, Raja Majid
Lee, Hyo Jong
orcid
Mehmood, Raja/0000-0002-2284-0479
accessioned
2018-09-28T16:05:39Z
available
2018-09-28T16:05:39Z
issued
2017
citation
SENSORS(17): 2
issn
1424-8220
uri
http://open-repository.kisti.re.kr/cube/handle/open_repository/486365.do
Funder
과학기술정보통신부
Funding Program
정보통신기술인력양성
Project ID
1711055344
Jurisdiction
Rep.of Korea
Project Name
Development of Next Generation Public Safety Service Technologies based on IoT and Big Data
rights
openAccess
subject
computer aided education
brain signal
EEG based emotion recognition
brain computer interface
type
article


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