International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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Diagnosing a Child with Autism using Artificial Intelligence

  • Alharbi, Abdulrahman (University of Tabuk Department of Information Technology) ;
  • Alyami, Hadi (University of Tabuk Department of Information Technology) ;
  • Alenzi, Saleh (University of Tabuk Department of Information Technology) ;
  • Alharbi, Saud (University of Tabuk Department of Information Technology) ;
  • bassfar, Zaid (University of Tabuk Department of Information Technology)
  • Received : 2022.06.05
  • Published : 2022.06.30
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Abstract

Children are the foundation and future of this society and understanding their impressions and behaviors is very important and the child's behavioral problems are a burden on the family and society as well as have a bad impact on the development of the child, and the early diagnosis of these problems helps to solve or mitigate them, and in this research project we aim to understand and know the behaviors of children, through artificial intelligence algorithms that helped solve many complex problems in an automated system, By using this technique to read and analyze the behaviors and feelings of the child by reading the features of the child's face, the movement of the child's body, the method of the child's session and nervous emotions, and by analyzing these factors we can predict the feelings and behaviors of children from grief, tension, happiness and anger as well as determine whether this child has the autism spectrum or not. The scarcity of studies and the privacy of data and its scarcity on these behaviors and feelings limited researchers in the process of analysis and training to the model presented in a set of images, videos and audio recordings that can be connected, this model results in understanding the feelings of children and their behaviors and helps doctors and specialists to understand and know these behaviors and feelings.

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References

  1. Xiaoyi Yu, Lingyi Wu, Qingfeng Liu and Han Zhou, "Children tantrum behaviour analysis based on Kinect sensor," 2011 Third Chinese Conference on Intelligent Visual Surveillance, 2011, pp. 49-52, doi: 10.1109/IVSurv.2011.6157022.
  2. P. Rani, "Emotion Detection of Autistic Children Using Image Processing," 2019 Fifth International Conference on Image Information Processing (ICIIP), 2019, pp. 532-535, doi: 10.1109/ICIIP47207.2019.8985706.
  3. S. Liang, A. Q. M. Sabri, F. Alnajjar and C. K. Loo, "Autism Spectrum Self-Stimulatory Behaviors Classification Using Explainable Temporal Coherency Deep Features and SVM Classifier," in IEEE Access, vol. 9, pp. 34264-34275, 2021, doi: 10.1109/ACCESS.2021.3061455.
  4. S. K. Jarraya, M. Masmoudi and M. Hammami, "Compound Emotion Recognition of Autistic Children During Meltdown Crisis Based on Deep Spatio-Temporal Analysis of Facial Geometric Features," in IEEE Access, vol. 8, pp. 69311-69326, 2020, doi: 10.1109/ACCESS.2020.2986654.
  5. M. Kokot, F. Petric, M. Cepanec, D. Miklic, I. Bejic and Z. Kovacic, "Classification of Child Vocal Behavior for a Robot-Assisted Autism Diagnostic Protocol," 2018 26th Mediterranean Conference on Control and Automation (MED), 2018, pp. 1-6, doi: 10.1109/MED.2018.8443030.
  6. Fei Dan, Lin Zhao, Changqing Suo and Qianqian Sun, "An experiment of influence of sports games on 3-6 years old young children's social behaviors," 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011, pp. 5397-5400, doi: 10.1109/AIMSEC.2011.6009799.
  7. Y. Yang et al., "Emotional and behavioral problems, social competence and risk factors in 6-16-year-old students in Beijing, China", PLOS ONE, vol. 14, no. 10, p. e0223970, 2019. Available: 10.1371/journal.pone.0223970 [Accessed 18 December 2021].
  8. X, Dongxin, Jill Gilkerson, and Jeffrey A. Richards. "Objective child behavior measurement with naturalistic daylong audio recording and its application to autism identification." 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2012.
  9. GitHub. 2022. GitHub - mm909/Kaggle-Autism: Detecting Autism Spectrum Disorder in Children With Computer Vision - Adapting facial recognition models to detect Autism Spectrum Disorder. [online] Available at: [Accessed 15 May 2022].
  10. Roland Goecke. 2022. Self-Stimulatory Behaviours in the Wild for Autism Diagnosis Dataset. [online] Available at: [Accessed 15 May 2022].