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.
Supported by the National Natural Science Foundation of China (No. 61733011, 51575338).
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References
The National Autistic Society: What is Autism? (2014). www.autism.org.uk/about-autism
Zablotsky, B., Black, L.I., Maenner, M.J., et al.: Estimated prevalence of autism and other developmental disabilities following questionnaire changes in the 2014 National Health Interview Survey. Natl. Health Stat. Rep. 2015(87), 1–20 (2015)
Cubells, J.: Prevalence of autism spectrum disorders in China. Shanghai Arch. Psychiatry 25(3), 176–177 (2013)
Christensen, D.L., Baio, J., Braun, K.V., et al.: Prevalence and characteristics of autism spectrum disorder among children aged 8 years - autism and developmental disabilities monitoring network, 11 sites, United States, 2012. MMWR Surveill. Summ. 65(3), 1C23 (2016)
Han, Y., Fathi, A., Abowd, G.D., et al.: Automated detection of mutual eye contact and joint attention using a single wearable camera system. In: International Meeting for Autism Research (2012)
Anzalone, S.M., Tilmont, E., Boucenna, S., et al.: How children with autism spectrum disorder behave and explore the 4-dimensional (spatial 3D+time) environment during a joint attention induction task with a robot. Res. Autism Spectr. Disord. 8(7), 814–826 (2014)
Mei, C., Zahed, B.T., Mason, L., Ouarles, J.: Towards joint attention training for children with ASD - a VR game approach and eye gaze exploration. In: 2018 IEEE Conference on Virtual Reality and 3D User Interfaces, VR, Tuebingen/Reutlingen, Germany, pp. 289–296 (2018)
Zheng, Z., Nie, G., Swanson, A., Weitlauf, A., Warren, Z., Sarkar, N.: Longitudinal impact of autonomous robot-mediated joint attention intervention for young children with ASD. In: Agah, A., Cabibihan, J.-J., Howard, A.M., Salichs, M.A., He, H. (eds.) ICSR 2016. LNCS, vol. 9979, pp. 581–590. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-47437-3_57
Mundy, P., Newell, L.: Attention, joint attention, and social cognition. Curr. Dir. Psychol. Sci. 16(5), 269 (2007)
Osterling, J., Dawson, G.: Early recognition of children with autism: a study of first birthday home videotapes. J. Autism Dev. Disord. 24(3), 247–257 (1994)
Esteban, P.G., Baxter, P., Belpaeme, T., et al.: How to build a supervised autonomous system for robot-enhanced therapy for children with autism spectrum disorder. Paladyn J. Behav. Robot. 8(1), 18–38 (2017)
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Zhang, W., Wang, Z., Liu, H. (2019). Vision-Based Joint Attention Detection for Autism Spectrum Disorders. In: Sun, F., Liu, H., Hu, D. (eds) Cognitive Systems and Signal Processing. ICCSIP 2018. Communications in Computer and Information Science, vol 1005. Springer, Singapore. https://doi.org/10.1007/978-981-13-7983-3_3
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DOI: https://doi.org/10.1007/978-981-13-7983-3_3
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