Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
An IoT-Belief Rule Base Smart System to Assess Autism
International Islamic University Chittagong, Bangladesh.
Jahangirnagar University, Dhaka, Bangladesh.
University of Chittagong, Bangladesh.ORCID iD: 0000-0002-7473-8185
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-0244-3561
2018 (English)In: Proceedings of the 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT 2018), IEEE, 2018, p. 671-675Conference paper, Published paper (Refereed)
Abstract [en]

An Internet-of-Things (IoT)-Belief Rule Base (BRB) based hybrid system is introduced to assess Autism spectrum disorder (ASD). This smart system can automatically collect sign and symptom data of various autistic children in realtime and classify the autistic children. The BRB subsystem incorporates knowledge representation parameters such as rule weight, attribute weight and degree of belief. The IoT-BRB system classifies the children having autism based on the sign and symptom collected by the pervasive sensing nodes. The classification results obtained from the proposed IoT-BRB smart system is compared with fuzzy and expert based system. The proposed system outperformed the state-of-the-art fuzzy system and expert system.

Place, publisher, year, edition, pages
IEEE, 2018. p. 671-675
Series
International Conference on Electrical Engineering and Information Communication Technology, ISSN 2475-1995
National Category
Computer Sciences Media and Communication Technology
Research subject
Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-70527DOI: 10.1109/CEEICT.2018.8628131ISI: 000459239000127ISBN: 978-1-5386-8279-1 (electronic)ISBN: 978-1-5386-8280-7 (print)OAI: oai:DiVA.org:ltu-70527DiVA, id: diva2:1240618
Conference
The 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT 2018), Dhaka, Bangladesh, September 13-15, 2018
Available from: 2018-08-21 Created: 2018-08-21 Last updated: 2019-03-11Bibliographically approved

Open Access in DiVA

fulltext(718 kB)120 downloads
File information
File name FULLTEXT01.pdfFile size 718 kBChecksum SHA-512
bbc0026392dfb1d5e3d6e1df79b39e620f9e52c7ee74562e0c6528d9bfe0849a562af4208ca2c861dde4883419f5f677db46acebad55405005320071471175b9
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records BETA

Andersson, Karl

Search in DiVA

By author/editor
Hossain, Mohammad ShahadatAndersson, Karl
By organisation
Computer Science
Computer SciencesMedia and Communication Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 120 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 458 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf