Abstract
Early screening of autism spectrum disorder is essential since early intervention can enhance the functional social behavior of autistic children. Among the behavior characteristics of autism, pointing is strongly related to human communicative interaction and cognitive development. To improve the efficiency and accuracy of autism screening, this paper presents a novel vision-based evaluation method for pointing behavior in the screening scenario: expressing needs with pointing (ENP). During the protocol process, a series of features such as hand position, gesture, the pointing direction can be detected, and the pointing behavior can be assessed by the evaluation method. In order to verify the effectiveness of the protocol and evaluation method, 19 toddlers (8 ASD toddlers and 11 non-ASD toddlers) between the ages of 16 and 32 months participate in this study. The accuracy of the automatic evaluation method for pointing behavior is 17/19. It shows that the ENP protocol and the proposed method based on computer vision are feasible in the early screening of autism.
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Bailey, A., et al.: A clinicopathological study of autism. Brain J. Neurol. 121(5), 889–905 (1998)
Eikeseth, S.: Outcome of comprehensive psycho-educational interventions for young children with autism. Res. Dev. Disabil. 30(1), 158–178 (2009)
Geschwind, D.H.: Advances in autism. Annu. Rev. Med. 60, 367–380 (2009)
Wang, Z., Liu, J., He, K., Xu, Q., Xu, X., Liu, H.: Screening early children with autism spectrum disorder via response-to-name protocol. IEEE Trans. Industr. Inf. 17, 587–595 (2019)
Liu, J., et al.: Early screening of autism in toddlers via response-to-instructions protocol. IEEE Trans. Cybern. (2020)
Cook, A., Mandal, B., Berry, D., Johnson, M.: Towards automatic screening of typical and atypical behaviors in children with autism. arXiv preprint arXiv:1907.12537 (2019)
Carpenter, M., Pennington, B.F., Rogers, S.J.: Interrelations among social-cognitive skills in young children with autism. J. Autism Dev. Disord. 32(2), 91–106 (2002)
Wang, Z., Xu, K., Liu, H.: Screening early children with autism spectrum disorder via expressing needs with index finger pointing. In: Proceedings of the 13th International Conference on Distributed Smart Cameras, pp. 1–6 (2019)
Redmon, J., Farhadi, A.: Yolov3: an incremental improvement. arXiv preprint arXiv:1804.02767 (2018)
Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The PASCAL visual object classes challenge 2007 (VOC 2007) results. http://www.pascal-network.org/challenges/VOC/voc2007/workshop/index.html
Szegedy, C., Ioffe, S., Vanhoucke, V., Alemi, A.A.: Inception-v4, inception-resnet and the impact of residual connections on learning. In: Thirty-First AAAI Conference on Artificial Intelligence (2017)
Cao, Z., Simon, T., Wei, S.-E., Sheikh, Y.: Realtime multi-person 2D pose estimation using part affinity fields. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7291–7299 (2017)
Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp. 1097–1105 (2012)
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Qin, H. et al. (2021). Vision-Based Pointing Estimation and Evaluation in Toddlers for Autism Screening. In: Liu, XJ., Nie, Z., Yu, J., Xie, F., Song, R. (eds) Intelligent Robotics and Applications. ICIRA 2021. Lecture Notes in Computer Science(), vol 13015. Springer, Cham. https://doi.org/10.1007/978-3-030-89134-3_17
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DOI: https://doi.org/10.1007/978-3-030-89134-3_17
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