IEEE Systems, Man and Cybernetics Magazine - October 2021 - 12

[9] T. D. Parsons, A. R. Carlew, J. Magtoto, and K. Stonecipher, " The potential of
function-led virtual environments for ecologically valid measures of executive function
in experimental and clinical neuropsychology, " Neuropsychol. Rehabil., vol. 27, no. 5,
pp. 777-807, 2017. doi: 10.1080/09602011.2015.1109524.
[10] N. T. Sahin, N. U. Keshav, J. P. Salisbury, and A. Vahabzadeh, " Safety and lack of
negative effects of wearable augmented-reality social communication aid for children
and adults with autism, " J. Clin. Med., vol. 7, no. 8, p. 188, 2018. doi: 10.3390/jcm7080188.
[11] N. Bendre, N. Ebadi, J. J. Prevost, and P. Najafirad, " Human action performance
using deep neuro-fuzzy recurrent attention model, " IEEE Access, vol. 8, pp. 57,749-
57,761, Mar. 20, 2020. doi: 10.1109/ACCESS.2020.2982364.
[12] T. Baltrusaitis, A. Zadeh, Y. C. Lim, and L.-P. Morency, " Openface 2.0: Facial
behavior analysis toolkit, " in Proc. 13th IEEE Int. Conf. Automatic Face Gesture
Recogn. (FG 2018), 2018, pp. 59-66. doi: 10.1109/FG.2018.00019.
[13] N. Memari, S. Abdollahi, S. Khodabakhsh, S. Rezaei, and M. Moghbel, " Speech
analysis with deep learning to determine speech therapy for learning difficulties, " in
Proc. Int. Conf. Intell. Fuzzy Syst., 2020, pp. 1164-1171.
[14] A. Das, J. Mock, Y. Huang, E. Golob, and P. Najafirad, " Interpretable self-supervised
facial micro-expression learning to predict cognitive state and neurological disorders, "
in Proc. AAAI Conf. Artificial Intell. 2021, vol. 35, no. 1, pp. 818-826.
[15] N. M. Rad et al., " Deep learning for automatic stereotypical motor movement
detection using wearable sensors in autism spectrum disorders, " Signal Process., vol.
144, pp. 180-191, Mar. 2018. doi: 10.1016/j.sigpro.2017.10.011.
[16] A. Pantelopoulos and N. G. Bourbakis, " A survey on wearable sensor-based systems
for health monitoring and prognosis, " IEEE Trans. Syst., Man, Cybern., C, Appl.
Rev., vol. 40, no. 1, pp. 1-12, 2009. doi: 10.1109/TSMCC.2009.2032660.
[17] S. L. Oh et al., " A deep learning approach for Parkinson's Disease diagnosis from
EEG signals, " Neural Comput. Appl., pp. 1-7, Aug. 30, 2018.
[18] C.-T. Lin et al., " EEG-based brain-computer interfaces: A novel neurotechnology
and computational intelligence method, " IEEE Syst., Man, Cybern. Mag., vol. 3, no. 4,
pp. 16-26, 2017. doi: 10.1109/MSMC.2017.2702378.
[19] B. Penchina, A. Sundaresan, S. Cheong, and A. Martel, " Deep LSTM recurrent
neural network for anxiety classification from EEG in adolescents with autism, " in
Proc. Int. Conf. Brain Informatics, 2020, pp. 227-238.
[20] A. Di Nuovo, D. Conti, G. Trubia, S. Buono, and S. Di Nuovo, " Deep learning systems
for estimating visual attention in robot-assisted therapy of children with autism and
intellectual disability, " Robotics, vol. 7, no. 2, p. 25, 2018. doi: 10.3390/robotics7020025.
[21] R. Linke, T. Kothe, and F. Alt, " Tabooga: A hybrid learning app to support children's
reading motivation, " in Proc. Conf. Interaction Design Children, 2017, pp. 278-285.
[22] E. L. Wodka, P. Mathy, and L. Kalb, " Predictors of phrase and fluent speech in
children with autism and severe language delay, " Pediatrics, vol. 131, no. 4, pp. e1128-
e1134, 2013. doi: 10.1542/peds.2012-2221.
[23] A. Carnett, S. Hansen, L. McLay, L. Neely, and R. Lang, " Quantitative-analysis of
behavioral interventions to treat sleep problems in children with autism, " Develop.
Neurorehabil., vol. 23, no. 5, pp. 271-284, 2020. doi: 10.1080/17518423.2019.1646340.
[24] A. Das and P. Rad, " Opportunities and challenges in explainable artificial intelligence
(XAI): A survey, " 2020, arXiv:2006.11371.
[25] F. Marciano et al., " Artificial intelligence: The " trait d'union " in different analysis
approaches of autism spectrum disorder studies, " Current Med. Chem., vol. 28, no. 42,
Feb. 3, 2021. doi: 10.2174/0929867328666210203205221.
[26] D.-Y. Song, S. Y. Kim, G. Bong, J. M. Kim, and H. J. Yoo, " The use of artificial intelligence
in screening and diagnosis of autism spectrum disorder: A literature review, " J.
Korean Academy Child Adolescent Psychiatr., vol. 30, no. 4, p. 145, 2019. doi: 10.5765/
jkacap.190027.
[27] S. Sadiq, M. Castellanos, J. Moffitt, M.-L. Shyu, L. Perry, and D. Messinger, " Deep
learning based multimedia data mining for autism spectrum disorder (ASD) diagnosis, "
in 2019 Int. Conf. Data Mining Workshops (ICDMW), 2019, pp. 847-854. doi:
10.1109/ICDMW.2019.00124.
12 IEEE SYSTEMS, MAN, & CYBERNETICS MAGAZINE October 2021
[28] D. P. Wall, R. Dally, R. Luyster, J.-Y. Jung, and T. F. DeLuca, " Use of artificial
intelligence to shorten the behavioral diagnosis of autism, " PloS One, vol. 7, no. 8,
p. e43855, 2012. doi: 10.1371/journal.pone.0043855.
[29] E. Linstead, R. German, D. Dixon, D. Granpeesheh, M. Novack, and A. Powell, " An
application of neural networks to predicting mastery of learning outcomes in the treatment
of autism spectrum disorder, " in Proc. IEEE 14th Int. Conf. Machine Learning
Appl. (ICMLA), 2015, pp. 414-418. doi: 10.1109/ICMLA.2015.214.
[30] F. Thabtah, " Machine learning in autistic spectrum disorder behavioral research:
A review and ways forward, " Informatics Health Soc. Care, vol. 44, no. 3, pp. 278-297,
2019. doi: 10.1080/17538157.2017.1399132.
[31] A. S. Heinsfeld, A. R. Franco, R. C. Craddock, A. Buchweitz, and F. Meneguzzi,
" Identification of autism spectrum disorder using deep learning and the abide dataset, "
NeuroImage: Clin., vol. 17, pp. 16-23, 2018. doi: 10.1016/j.nicl.2017.08.017.
[32] E. Bekele et al., " Multimodal adaptive social interaction in virtual environment
(masi-vr) for children with autism spectrum disorders (asd), " in Proc. IEEE Virtual
Reality (VR), 2016, pp. 121-130. doi: 10.1109/VR.2016.7504695.
[33] H. Zhao, A. R. Swanson, A. S. Weitlauf, Z. E. Warren, and N. Sarkar, " Hand-in-hand:
A communication-enhancement collaborative virtual reality system for promoting
social interaction in children with autism spectrum disorders, " IEEE Trans. HumanMachine
Syst., vol. 48, no. 2, pp. 136-148, 2018. doi: 10.1109/THMS.2018.2791562.
[34] C. Tsangouri, W. Li, Z. Zhu, F. Abtahi, and T. Ro, " An interactive facial-expression
training platform for individuals with autism spectrum disorder, " in Proc. IEEE MIT Undergraduate
Res. Technol. Conf. (URTC), 2016, pp. 1-3. doi: 10.1109/URTC.2016.8284067.
[35] M. I. U. Haque, " A facial expression recognition application development using
deep convolutional neural network for children with autism spectrum disorder to help
identify human emotions, " Texas State Univ., 2019. [Online]. Available: https://digital
.library.txstate.edu/handle/10877/8457
[36] E. S. Dalmaijer, S. Mathôt, and S. Van der Stigchel, " Pygaze: An open-source,
cross-platform toolbox for minimal-effort programming of eyetracking experiments, "
Behav. Res. Meth., vol. 46, no. 4, pp. 913-921, 2014. doi: 10.3758/s13428-013-0422-2.
[37] A. Vijayan, S. Janmasree, C. Keerthana, and L. B. Syla, " A framework for intelligent
learning assistant platform based on cognitive computing for children with
autism spectrum disorder, " in Proc. Int. CET Conf. Control, Commun. Comput. (IC4),
2018, pp. 361-365. doi: 10.1109/CETIC4.2018.8530940.
[38] A. Bilyalova, D. Salimova, and T. Zelenina, " Digital transformation in education, "
in Proc. Int. Conf. Integrated Sci., 2019, pp. 265-276.
[39] N. Kucirkova, " ipads in early years, separating assumptions and evidence, " Front.
Psychol., vol. 5, pp. 1-3, July 8, 2014, Art. no. 715. doi: 10.3389/fpsyg.2014.00715.
[40] A. Kwasniewska et al., " Deep learning optimization for edge devices: Analysis of
training quantization parameters, " in Proc. IECON 2019-45th Annu. Conf. IEEE Ind.
Electron. Soc., 2019, vol. 1, pp. 96-101.
[41] W. H. Ahearn, K. M. Clark, R. P. MacDonald, and B. I. Chung, " Assessing and treating
vocal stereotypy in children with autism, " J. Appl. Behav. Anal., vol. 40, no. 2, pp.
263-275, 2007. doi: 10.1901/jaba.2007.30-06.
[42] S. J. Singh, T. Iacono, and K. M. Gray, " Interactions of pre-symbolic children with
developmental disabilities with their mothers and siblings, " Int. J. Language Commun.
Disord., vol. 50, no. 2, pp. 202-214, 2015. doi: 10.1111/1460-6984.12128.
[43] A. Alias and N. M. Salleh, " Analysis of problems faced by special education teacher
in teaching the multiple disabilities students, " J. ICSAR, vol. 1, no. 1, pp. 60-67,
2017. doi: 10.17977/um005v1i12017p060.
[44] P. Şafak, M. E. Çetin, and M. Kot, " Siblings attitudes towards persons with severe/
profound and multiple disabilities in turkey, " Procedia-Soc. Behav. Sci., vol. 191, pp.
2083-2088, June 2, 2015. doi: 10.1016/j.sbspro.2015.04.694.
[45] M. Syrjämäki, N. Sajaniemi, E. Suhonen, A. Alijoki, and M. Nislin, " Enhancing peer
interaction: An aspect of a high-quality learning environment in Finnish early childhood
special education, " European J. Special Needs Educ., vol. 32, no. 3, pp. 377-390,
2017. doi: 10.1080/08856257.2016.1240342.
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IEEE Systems, Man and Cybernetics Magazine - October 2021

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