A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence

Md Hasan Al Banna; Tapotosh Ghosh; Kazi Abu Taher; M. Shamim Kaiser; Mufti Mahmud

doi:10.1007/978-3-030-59277-6_23

A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence

Md Hasan Al Banna
, Tapotosh Ghosh
, Kazi Abu Taher
, M. Shamim Kaiser^*
, Mufti Mahmud

^*Corresponding author for this work

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

100 Scopus citations

Abstract

When the world is suffering from the deadliest consequences of COVID-19, people with autism find themselves in the worst possible situation. The patients of autism lack social skills, and in many cases, show repetitive behavior. Many of them need outside support throughout their life. During the COVID-19 pandemic, as many of the places are in lockdown conditions, it is very tough for them to find help from their doctors and therapists. Suddenly, the caregivers and parents of the ASD patients find themselves in a strange situation. Therefore, we are proposing an artificial intelligence-based system that uses sensor data to monitor the patient’s condition, and based on the emotion and facial expression of the patient, adjusts the learning method through exciting games and tasks. Whenever something goes wrong with the patient’s behavior, the caregivers and the parents are alerted about it. We then presented how this AI-based system can help them during COVID-19 pandemic. This system can help the parents to adjust to the new situation and continue the mental growth of the patients.

Original language	English
Title of host publication	Brain Informatics - 13th International Conference, BI 2020, Proceedings
Editors	Mufti Mahmud, Stefano Vassanelli, M. Shamim Kaiser, Ning Zhong
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	251-262
Number of pages	12
ISBN (Print)	9783030592769
DOIs	https://doi.org/10.1007/978-3-030-59277-6_23
State	Published - 2020
Externally published	Yes
Event	13th International Conference on Brain Informatics, BI 2020 - Padua, Italy Duration: 19 Sep 2020 → 19 Sep 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12241 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Conference on Brain Informatics, BI 2020
Country/Territory	Italy
City	Padua
Period	19/09/20 → 19/09/20

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

Artificial intelligence
Autism
COVID-19
Emotion Detection

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-59277-6_23

Cite this

Al Banna, M. H., Ghosh, T., Taher, K. A., Kaiser, M. S., & Mahmud, M. (2020). A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence. In M. Mahmud, S. Vassanelli, M. S. Kaiser, & N. Zhong (Eds.), Brain Informatics - 13th International Conference, BI 2020, Proceedings (pp. 251-262). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12241 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-59277-6_23

Al Banna, Md Hasan ; Ghosh, Tapotosh ; Taher, Kazi Abu et al. / A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence. Brain Informatics - 13th International Conference, BI 2020, Proceedings. editor / Mufti Mahmud ; Stefano Vassanelli ; M. Shamim Kaiser ; Ning Zhong. Springer Science and Business Media Deutschland GmbH, 2020. pp. 251-262 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "When the world is suffering from the deadliest consequences of COVID-19, people with autism find themselves in the worst possible situation. The patients of autism lack social skills, and in many cases, show repetitive behavior. Many of them need outside support throughout their life. During the COVID-19 pandemic, as many of the places are in lockdown conditions, it is very tough for them to find help from their doctors and therapists. Suddenly, the caregivers and parents of the ASD patients find themselves in a strange situation. Therefore, we are proposing an artificial intelligence-based system that uses sensor data to monitor the patient{\textquoteright}s condition, and based on the emotion and facial expression of the patient, adjusts the learning method through exciting games and tasks. Whenever something goes wrong with the patient{\textquoteright}s behavior, the caregivers and the parents are alerted about it. We then presented how this AI-based system can help them during COVID-19 pandemic. This system can help the parents to adjust to the new situation and continue the mental growth of the patients.",

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Al Banna, MH, Ghosh, T, Taher, KA, Kaiser, MS & Mahmud, M 2020, A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence. in M Mahmud, S Vassanelli, MS Kaiser & N Zhong (eds), Brain Informatics - 13th International Conference, BI 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12241 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 251-262, 13th International Conference on Brain Informatics, BI 2020, Padua, Italy, 19/09/20. https://doi.org/10.1007/978-3-030-59277-6_23

A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence. / Al Banna, Md Hasan; Ghosh, Tapotosh; Taher, Kazi Abu et al.
Brain Informatics - 13th International Conference, BI 2020, Proceedings. ed. / Mufti Mahmud; Stefano Vassanelli; M. Shamim Kaiser; Ning Zhong. Springer Science and Business Media Deutschland GmbH, 2020. p. 251-262 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12241 LNAI).

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

TY - GEN

T1 - A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence

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AU - Ghosh, Tapotosh

AU - Taher, Kazi Abu

AU - Kaiser, M. Shamim

AU - Mahmud, Mufti

PY - 2020

Y1 - 2020

N2 - When the world is suffering from the deadliest consequences of COVID-19, people with autism find themselves in the worst possible situation. The patients of autism lack social skills, and in many cases, show repetitive behavior. Many of them need outside support throughout their life. During the COVID-19 pandemic, as many of the places are in lockdown conditions, it is very tough for them to find help from their doctors and therapists. Suddenly, the caregivers and parents of the ASD patients find themselves in a strange situation. Therefore, we are proposing an artificial intelligence-based system that uses sensor data to monitor the patient’s condition, and based on the emotion and facial expression of the patient, adjusts the learning method through exciting games and tasks. Whenever something goes wrong with the patient’s behavior, the caregivers and the parents are alerted about it. We then presented how this AI-based system can help them during COVID-19 pandemic. This system can help the parents to adjust to the new situation and continue the mental growth of the patients.

AB - When the world is suffering from the deadliest consequences of COVID-19, people with autism find themselves in the worst possible situation. The patients of autism lack social skills, and in many cases, show repetitive behavior. Many of them need outside support throughout their life. During the COVID-19 pandemic, as many of the places are in lockdown conditions, it is very tough for them to find help from their doctors and therapists. Suddenly, the caregivers and parents of the ASD patients find themselves in a strange situation. Therefore, we are proposing an artificial intelligence-based system that uses sensor data to monitor the patient’s condition, and based on the emotion and facial expression of the patient, adjusts the learning method through exciting games and tasks. Whenever something goes wrong with the patient’s behavior, the caregivers and the parents are alerted about it. We then presented how this AI-based system can help them during COVID-19 pandemic. This system can help the parents to adjust to the new situation and continue the mental growth of the patients.

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M3 - Conference contribution

AN - SCOPUS:85092162686

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

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A2 - Kaiser, M. Shamim

A2 - Zhong, Ning

PB - Springer Science and Business Media Deutschland GmbH

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Y2 - 19 September 2020 through 19 September 2020

ER -

Al Banna MH, Ghosh T, Taher KA, Kaiser MS, Mahmud M. A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence. In Mahmud M, Vassanelli S, Kaiser MS, Zhong N, editors, Brain Informatics - 13th International Conference, BI 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 251-262. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-59277-6_23

A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this