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fASSERT: A Fuzzy Assistive System for Children with Autism Using Internet of Things

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Book cover Brain Informatics (BI 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11309))

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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.

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Correspondence to Mufti Mahmud or M. Shamim Kaiser .

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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: Wang, S., et al. Brain Informatics. BI 2018. Lecture Notes in Computer Science(), vol 11309. Springer, Cham. https://doi.org/10.1007/978-3-030-05587-5_38

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  • DOI: https://doi.org/10.1007/978-3-030-05587-5_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05586-8

  • Online ISBN: 978-3-030-05587-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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