@inproceedings{67bd7e38e1bf4675988f04181b730cba,
title = "Vision-Based Joint Attention Detection for Autism Spectrum Disorders",
abstract = "Autism Spectrum Disorder (ASD) is one of the most common neurodevelopmental disorders in childhood. Its clinical symptoms mainly include narrow interests, stereotyped behavior and social communication disorders. There is still no cure for ASD. Only early detection and intervention can help to alleviate the symptoms and effects of ASD, so that ASD patients can adapt to the society and live a relatively normal life. Joint Attention is one of the core features of ASD and one of the key diagnostic indicators. In this paper, a detection test for Joint Attention is carried out among 8 non-ASD adults through a visual system which contains of one RGB camera and one Kinect. The result shows that the system can effectively detect the Joint Attention and has good accuracy.",
keywords = "Autism Spectrum Disorder, Joint Attention, Visual system",
author = "Wanqi Zhang and Zhiyong Wang and Honghai Liu",
note = "Publisher Copyright: \&\#x00A9; 2019, Springer Nature Singapore Pte Ltd.; 4th International Conference on Cognitive Systems and Information Processing, ICCSIP 2018 ; Conference date: 29-11-2018 Through 01-12-2018",
year = "2019",
doi = "10.1007/978-981-13-7983-3\_3",
language = "英语",
isbn = "9789811379826",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "26--36",
editor = "Fuchun Sun and Dewen Hu and Huaping Liu",
booktitle = "Cognitive Systems and Signal Processing - 4th International Conference, ICCSIP 2018, Revised Selected Papers",
address = "德国",
}