@inproceedings{077e2a77366044aea02b58fe0e975955,
title = "Capturing play activities of young children to detect autism red flags",
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.",
keywords = "Autism, Early diagnosis, IoT, Neural network",
author = "Mariasole Bondioli and Stefano Chessa and Antonio Narzisi and Susanna Pelagatti and Dario Piotrowicz",
year = "2020",
month = jan,
day = "1",
doi = "10.1007/978-3-030-24097-4_9",
language = "English",
isbn = "9783030240967",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "71--79",
editor = "Paulo Novais and Davide Carneiro and Jaime Lloret and Pablo Chamoso and Elena Navarro and Sigeru Omatu",
booktitle = "Ambient Intelligence – Software and Applications –,10th International Symposium on Ambient Intelligence",
address = "Germany",
note = "10th International Symposium on Ambient Intelligence, ISAmI 2019 ; Conference date: 26-06-2019 Through 28-06-2019",
}