Acknowledgement
본 논문은 2021년 한국원자력연구원의 주요사업(524450-21) 지원에 의해 연구되었음.
References
- Korea Youth Counseling & Welfare Institute (2020). Daily life changed by COVID-19 and Investigation and countermeasures for the perception of adolescent guardians, Youth Counseling Issue Paper, 2, 1-14.
- Jo, S. H. (2020). [Measures for Prevention of Abuse of Children and Adolescents] Contents and Future Plans, Parenting Policy Forum, 28-33
- Center for Transnational Migration and Social Inclusion (2021). Childcare during Covid-19 and Mental Health Crisis for Parents, Issue Brief Series on Impact of Covid-19 on Care.
- Barak, A. (2011). Internet-based psychological testing and assessment. In: Online Counseling. Academic Press, 225-255.
- Mattson, D. C. (2015). Usability assessment of a mobile app for art therapy. The Arts in Psychotherapy.
- Yoon, Y. I. (2015). The childrens HTP test application development based on mobile device. Design convergence study, 14, 293-310.
- Kim, S. K., & Yu, K. (2021). Development of Fuzzy Reasoning based Psychological Diagnosis Application with Automatic Hand-drawing Analysis. Journal of Digital Contents Society, 22(3), 519-525. https://doi.org/10.9728/dcs.2021.22.3.519
- Park, J., Shin, S., Kim, J. Y., Park, K. H., Lee, S., Jeon, M., Kim, S. (2019). Preliminary Research of HTP Sentiment Analysis Automation on Children's Drawings. The HCI Society of Korea conference, 867-871.
- Ren, S., He, K., Girshick, R., & Sun, J. (2015). Faster r-cnn: Towards real-time object detection with region proposal networks. Advances in neural information processing systems, 28, 91-99.
- Girshick, R., Donahue, J., Darrell, T., & Malik, J. (2014). Rich feature hierarchies for accurate object detection and semantic segmentation. In Proceedings of the IEEE conference on computer vision and pattern recognition, 580-587.
- Girshick, R. (2015). Fast r-cnn. In Proce dings of the IEEE international conference on computer vision, 1440-1448.
- Everingham, M., Van Gool, L., Williams, C. K., Winn, J., & Zisserman, A. (2010). The pascal visual object classes (voc) challenge. International journal of computer vision, 88(2), 303-338. https://doi.org/10.1007/s11263-009-0275-4
- Pizer, S. M., Amburn, E. P., Austin, J. D., Cromartie, R., Geselowitz, A., Greer, T., ... & Zuiderveld, K. (1987). Adaptive histogram equalization and its variations. Computer vision, graphics, and image processing, 39(3), 355-368. https://doi.org/10.1016/s0734-189x(87)80186-x
- Y. Wu, A. Kirillov, F. Massa, W.-Y. Lo, and Girshick R. (2019). "Detectron2," https://github.com/facebookresearch/detectron2
- Otsu, N. (1979). A threshold selection method from gray-level histograms. IEEE transactions on systems, man, and cybernetics, 9(1), 62-66. https://doi.org/10.1109/TSMC.1979.4310076
- Howse, J. (2013). OpenCV computer vision with python. Birmingham: Packt Publishing.
- Kolkur, S., Kalbande, D., Shimpi, P., Bapat, C., & Jatakia, J. (2017). Human skin detection using RGB, HSV and YCbCr color models. arXiv preprint arXiv:1708.02694. https://doi.org/10.2991/iccasp-16.2017.51