EXPRESSION OF CONCERN: Research on 2D Animation Simulation Based on Artificial Intelligence and Biomechanical Modeling

Authors

  • Fangming Dai ShenZhen Polytechnic University
  • Zhiyong Li ShenZhen Polytechnic University

DOI:

https://doi.org/10.4108/eetpht.10.5907

Keywords:

biomechanical modelling, artificial intelligence, character animation, deep neural network

Abstract

Concerns have been raised over the peer review and editorial processes involving this article. The full notice can be found here: Concerns have been raised over the peer review and editorial processes involving this article. The full notice can be found here: https://doi.org/10.4108/eetpht.11.12707

Downloads

Download data is not yet available.

References

Farahani, J., Soltani, P., & Roberts, R. E. (2020). Expertise differences in a 2D animation simulation decision-making task: The influence of presentation speed on performance. Progress in brain research, 253, 87-100.

Schreck, C., & Wojtan, C. (2022, May). Coupling 3D liquid simulation with 2D wave propagation for large scale water surface animation using the equivalent sources method. In Computer Graphics Forum (Vol. 41, No. 2, pp. 343-353).

Untari, R., Kamdi, W., Dardiri, A., Hadi, S., & Nurhadi, D. (2020). The development and application of interactive multimedia in project-based learning to enhance students' achievement for 2D animation making. International Journal of Emerging Technologies in Learning (IJET), 15(16), 17-30.

Morgenroth, D., Reinhardt, S., Weiskopf, D., & Eberhardt, B. (2020, December). Efficient 2D simulation on moving 3D surfaces. In Computer Graphics Forum (Vol. 39, No. 8, pp. 27-38).

Ejimonye, J. C., Ugwuanyi, C. S., Okeke, C. I. O., & Nwoye, M. N. (2020). Two-dimensional animation and students’ achievement in mathematical economics: implications for science teaching. International Journal of Engineering Research and Technology, 13(6), 1220-1230.

Farahani, J., Soltani, P., Rezlescu, C., & Walsh, V. (2020). Assessing decision making using 2D animations in elite academy footballers. Progress in Brain Research, 253, 71-85.

Verma, M., Thapliyal, V., Mishra, A., & Rani, S. (2024). Efficacy of 3D Monte Carlo Simulations vis-à-vis 2D in the Estimation of Pi: A Multifaceted Approach. International Journal of Applied and Computational Mathematics, 10(2), 1-15.

Even, M., Bénard, P., & Barla, P. (2023, May). Non‐linear Rough 2D Animation using Transient Embeddings. In Computer Graphics Forum (Vol. 42, No. 2, pp. 411-425).

Alherz, A., Tsuruta, N., & Kondo, K. (2020). Multiple-character animation systems for children at different educational stages. International Journal of Asia Digital Art and Design Association, 24(1), 1-7.

Wang, J., & Gao, J. (2023). Research on 3D Animation Technology of Human and Scene Based on Virtual Reality. Art and Performance Letters, 4(1), 12-17.

Bishop, P. J., Cuff, A. R., & Hutchinson, J. R. (2021). How to build a dinosaur: Musculoskeletal modeling and simulation of locomotor biomechanics in extinct animals. Paleobiology, 47(1), 1-38.

Feldotto, B., Morin, F. O., & Knoll, A. (2022). The neurorobotics platform robot designer: modeling morphologies for embodied learning experiments. Frontiers in Neurorobotics, 16, 856727.

Ling, X., Zhu, Y., Liu, W., Liang, J., & Yang, J. (2023). The Generation of Articulatory Animations Based on Keypoint Detection and Motion Transfer Combined with Image Style Transfer. Computers, 12(8), 150.

Li, J., & Wang, J. (2023). Digital animation multimedia information synthesis based on mixed reality framework with specialized analysis on speech data. International journal of speech technology, 26(1), 63-76.

Babadi, A., Van de Panne, M., Liu, C. K., & Hämäläinen, P. (2021). Learning Task-Agnostic Action Spaces for Movement Optimization. IEEE Transactions on Visualization and Computer Graphics, 28(12), 4700-4712.

Liu, Y., Zheng, C., Xu, F., Tong, X., & Guo, B. (2020). Data-driven 3d neck modeling and animation. IEEE Transactions on Visualization and Computer Graphics, 27(7), 3226-3237.

Wu, Y., Chen, Z., Liu, S., Ren, Z., & Wang, S. (2022). Casa: Category-agnostic skeletal animal reconstruction. Advances in Neural Information Processing Systems, 35, 28559-28574.

Ayas, A. Y., Aydin, H., Çetinkaya, A., & Güney, Z. (2023). Artificial Intelligence (AI)-Based Self-Deciding Character Development Application in Two-Dimensional Video Games. Bilgi ve İletişim Teknolojileri Dergisi, 5(1), 1-19.

Liu, K., Chang, K. M., Liu, Y. J., & Chen, J. H. (2020). Animated Character Style Investigation with Decision Tree Classification. Symmetry, 12(8), 1261.

Kumar, A., Jilani Saudagar, A. K., AlKhathami, M., Alsamani, B., Abul Hasanat, M. H., Khan, M. B., ... & Singh, K. U. (2022). AIAVRT: 5.0 Transformation in Medical Education with Next Generation AI-3D Animation and VR Integrated Computer Graphics Imagery. Traitement du Signal, 39(5).

Ding, W., & Li, W. (2023). High speed and accuracy of animation 3D pose recognition based on an improved deep convolution neural network. Applied Sciences, 13(13), 7566.

Fangbemi, A. S., Lu, Y. F., Xu, M. Y., Luo, X. W., Rolland, A., & Raissi, C. (2020). ZooBuilder: 2D and 3D pose estimation for quadrupeds using synthetic data. arXiv preprint arXiv:2009.05389.

Wan, Y., Edmond, M. A., Kitz, C., Southern, J., & Holman, H. A. (2023). An integrated workflow for 2D and 3D posture analysis during vestibular system testing in mice. Frontiers in Neurology, 14, 1281790.

Kumar, A., Saudagar, A. K. J., Alkhathami, M., Alsamani, B., Khan, M. B., Hasanat, M. H. A., ... & Srinivasan, B. (2023). Gamified learning and assessment using ARCS with next-generation AIoMT integrated 3D animation and virtual reality simulation. Electronics, 12(4), 835.

Siyao, L., Li, Y., Li, B., Dong, C., Liu, Z., & Loy, C. C. (2022). Animerun: 2d animation visual correspondence from open source 3d movies. Advances in Neural Information Processing Systems, 35, 18996-19007.

Mundt, M., Oberlack, H., Morris, C., Funken, J., Potthast, W., & Alderson, J. (2021). No dataset too small! Animating 3D motion data to enlarge 2D video databases. ISBS Proceedings Archive, 39(1), 25.

Asraf, S. M. H., Abdullasim, N., & Romli, R. (2020, February). Hybrid animation: implementation of motion capture. In IOP Conference Series: Materials Science and Engineering (Vol. 767, No. 1, p. 012065). IOP Publishing.

https://www.kaggle.com/datasets/dbdmobile/myanimelist-dataset

Downloads

Published

23-05-2024

How to Cite

1.
Fangming Dai, Li Z. EXPRESSION OF CONCERN: Research on 2D Animation Simulation Based on Artificial Intelligence and Biomechanical Modeling. EAI Endorsed Trans Perv Health Tech [Internet]. 2024 May 23 [cited 2026 May 7];10. Available from: https://publications.eai.eu/index.php/phat/article/view/5907