fASSERT: A fuzzy assistive system for children with autism using internet of things

Anjum Ismail Sumi; Most Fatematuz Zohora; Maliha Mahjabeen; Tasnova Jahan Faria; Mufti Mahmud; M. Shamim Kaiser

doi:10.1007/978-3-030-05587-5_38

fASSERT: A fuzzy assistive system for children with autism using internet of things

Anjum Ismail Sumi
, Most Fatematuz Zohora
, Maliha Mahjabeen
, Tasnova Jahan Faria
, Mufti Mahmud
, M. Shamim Kaiser^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

66 Scopus citations

Abstract

This work presents an assistive system for child with autism spectrum disorder (C-ASD). The main objective of this system is to reduce dependency on the caregiver and parent and thereby assisting them to make independent. Fuzzy logic based expert system is designed for the assisting system which will help in intervention strategies. The system collects data from four different sensors, such as GPS, heart beat, accelerometer and sound, and generates required notification for the parent, caregiver and C-ASD. The wearables-specifically smart watches- can be used to implement such system. A case study shows the proposed expert system is able to help the C-ASD to restore dysfunction.

Original language	English
Title of host publication	Brain Informatics - International Conference, BI 2018, Proceedings
Editors	Yang Yang, Vicky Yamamoto, Shouyi Wang, Erick Jones, Jianzhong Su, Tom Mitchell, Leon Iasemidis
Publisher	Springer Verlag
Pages	403-412
Number of pages	10
ISBN (Print)	9783030055868
DOIs	https://doi.org/10.1007/978-3-030-05587-5_38
State	Published - 2018
Externally published	Yes
Event	International Conference on Brain Informatics, BI 2018 - Arlington, United States Duration: 7 Dec 2018 → 9 Dec 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11309 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Brain Informatics, BI 2018
Country/Territory	United States
City	Arlington
Period	7/12/18 → 9/12/18

Bibliographical note

Publisher Copyright:
© 2018, Springer Nature Switzerland AG.

Keywords

Brain disorder
Caregiver
Fuzzy set
Knowledge base
Wearable devices

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-05587-5_38

Cite this

Sumi, A. I., Zohora, M. F., Mahjabeen, M., Faria, T. J., Mahmud, M., & Kaiser, M. S. (2018). fASSERT: A fuzzy assistive system for children with autism using internet of things. In Y. Yang, V. Yamamoto, S. Wang, E. Jones, J. Su, T. Mitchell, & L. Iasemidis (Eds.), Brain Informatics - International Conference, BI 2018, Proceedings (pp. 403-412). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11309 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-05587-5_38

Sumi, Anjum Ismail ; Zohora, Most Fatematuz ; Mahjabeen, Maliha et al. / fASSERT : A fuzzy assistive system for children with autism using internet of things. Brain Informatics - International Conference, BI 2018, Proceedings. editor / Yang Yang ; Vicky Yamamoto ; Shouyi Wang ; Erick Jones ; Jianzhong Su ; Tom Mitchell ; Leon Iasemidis. Springer Verlag, 2018. pp. 403-412 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "fASSERT: A fuzzy assistive system for children with autism using internet of things",

abstract = "This work presents an assistive system for child with autism spectrum disorder (C-ASD). The main objective of this system is to reduce dependency on the caregiver and parent and thereby assisting them to make independent. Fuzzy logic based expert system is designed for the assisting system which will help in intervention strategies. The system collects data from four different sensors, such as GPS, heart beat, accelerometer and sound, and generates required notification for the parent, caregiver and C-ASD. The wearables-specifically smart watches- can be used to implement such system. A case study shows the proposed expert system is able to help the C-ASD to restore dysfunction.",

keywords = "Brain disorder, Caregiver, Fuzzy set, Knowledge base, Wearable devices",

author = "Sumi, \{Anjum Ismail\} and Zohora, \{Most Fatematuz\} and Maliha Mahjabeen and Faria, \{Tasnova Jahan\} and Mufti Mahmud and Kaiser, \{M. Shamim\}",

note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; International Conference on Brain Informatics, BI 2018 ; Conference date: 07-12-2018 Through 09-12-2018",

year = "2018",

doi = "10.1007/978-3-030-05587-5\_38",

language = "English",

isbn = "9783030055868",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "403--412",

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}

Sumi, AI, Zohora, MF, Mahjabeen, M, Faria, TJ, Mahmud, M & Kaiser, MS 2018, fASSERT: A fuzzy assistive system for children with autism using internet of things. in Y Yang, V Yamamoto, S Wang, E Jones, J Su, T Mitchell & L Iasemidis (eds), Brain Informatics - International Conference, BI 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11309 LNAI, Springer Verlag, pp. 403-412, International Conference on Brain Informatics, BI 2018, Arlington, United States, 7/12/18. https://doi.org/10.1007/978-3-030-05587-5_38

fASSERT: A fuzzy assistive system for children with autism using internet of things. / Sumi, Anjum Ismail; Zohora, Most Fatematuz; Mahjabeen, Maliha et al.
Brain Informatics - International Conference, BI 2018, Proceedings. ed. / Yang Yang; Vicky Yamamoto; Shouyi Wang; Erick Jones; Jianzhong Su; Tom Mitchell; Leon Iasemidis. Springer Verlag, 2018. p. 403-412 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11309 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - fASSERT

T2 - International Conference on Brain Informatics, BI 2018

AU - Sumi, Anjum Ismail

AU - Zohora, Most Fatematuz

AU - Mahjabeen, Maliha

AU - Faria, Tasnova Jahan

AU - Mahmud, Mufti

AU - Kaiser, M. Shamim

PY - 2018

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N2 - This work presents an assistive system for child with autism spectrum disorder (C-ASD). The main objective of this system is to reduce dependency on the caregiver and parent and thereby assisting them to make independent. Fuzzy logic based expert system is designed for the assisting system which will help in intervention strategies. The system collects data from four different sensors, such as GPS, heart beat, accelerometer and sound, and generates required notification for the parent, caregiver and C-ASD. The wearables-specifically smart watches- can be used to implement such system. A case study shows the proposed expert system is able to help the C-ASD to restore dysfunction.

AB - This work presents an assistive system for child with autism spectrum disorder (C-ASD). The main objective of this system is to reduce dependency on the caregiver and parent and thereby assisting them to make independent. Fuzzy logic based expert system is designed for the assisting system which will help in intervention strategies. The system collects data from four different sensors, such as GPS, heart beat, accelerometer and sound, and generates required notification for the parent, caregiver and C-ASD. The wearables-specifically smart watches- can be used to implement such system. A case study shows the proposed expert system is able to help the C-ASD to restore dysfunction.

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KW - Caregiver

KW - Fuzzy set

KW - Knowledge base

KW - Wearable devices

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M3 - Conference contribution

AN - SCOPUS:85058522659

SN - 9783030055868

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 403

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BT - Brain Informatics - International Conference, BI 2018, Proceedings

A2 - Yang, Yang

A2 - Yamamoto, Vicky

A2 - Wang, Shouyi

A2 - Jones, Erick

A2 - Su, Jianzhong

A2 - Mitchell, Tom

A2 - Iasemidis, Leon

PB - Springer Verlag

Y2 - 7 December 2018 through 9 December 2018

ER -

Sumi AI, Zohora MF, Mahjabeen M, Faria TJ, Mahmud M, Kaiser MS. fASSERT: A fuzzy assistive system for children with autism using internet of things. In Yang Y, Yamamoto V, Wang S, Jones E, Su J, Mitchell T, Iasemidis L, editors, Brain Informatics - International Conference, BI 2018, Proceedings. Springer Verlag. 2018. p. 403-412. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-05587-5_38

fASSERT: A fuzzy assistive system for children with autism using internet of things

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this