Capturing play activities of young children to detect autism red flags

Mariasole Bondioli, Stefano Chessa, Antonio Narzisi, Susanna Pelagatti, Dario Piotrowicz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The use of IoT devices to monitor activities of users is an established methodology in e-health and ambient assisted living, even if its adoption is still limited to a few, albeit popular, applications. We propose its adoption also in a niche application, namely the observation of young children during their games, which is a common test performed by specialists to diagnose autistic spectrum disorders in an early stage. Specifically, we describe an IoT system that employs miniaturized sensors and data fusion algorithms based on machine learning to identify automatically the movements applied to the toys by the children, and we propose a protocol for its use in the forthcoming pilot experiments.

Original languageEnglish
Title of host publicationAmbient Intelligence – Software and Applications –,10th International Symposium on Ambient Intelligence
EditorsPaulo Novais, Davide Carneiro, Jaime Lloret, Pablo Chamoso, Elena Navarro, Sigeru Omatu
PublisherSpringer Verlag
Pages71-79
Number of pages9
ISBN (Print)9783030240967
DOIs
Publication statusPublished - Jan 1 2020
Event10th International Symposium on Ambient Intelligence, ISAmI 2019 - Ávila, Spain
Duration: Jun 26 2019Jun 28 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1006
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference10th International Symposium on Ambient Intelligence, ISAmI 2019
CountrySpain
CityÁvila
Period6/26/196/28/19

    Fingerprint

Keywords

  • Autism
  • Early diagnosis
  • IoT
  • Neural network

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Bondioli, M., Chessa, S., Narzisi, A., Pelagatti, S., & Piotrowicz, D. (2020). Capturing play activities of young children to detect autism red flags. In P. Novais, D. Carneiro, J. Lloret, P. Chamoso, E. Navarro, & S. Omatu (Eds.), Ambient Intelligence – Software and Applications –,10th International Symposium on Ambient Intelligence (pp. 71-79). (Advances in Intelligent Systems and Computing; Vol. 1006). Springer Verlag. https://doi.org/10.1007/978-3-030-24097-4_9