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Body2Particles: Designing Particle Systems Using Body Gestures

Part of the Lecture Notes in Computer Science book series (LNISA,volume 12523)

Abstract

Body2Particles is an interactive design system that allows users to create complex particle systems using body gestures. Even for skilled animators, adjusting the various parameters for the animation of complex physics systems is a boring task. Common users may feel frustrated in attempting to understand these parameters and their proper usages. To solve these issues, Body2Particles provides an embodied design interface for the animation of complex particle systems. This work focuses especially on the animation of fireworks as it requires the hierarchical construction of multiple particle systems. The proposed user interface takes the user’s body movements as input from depth sensor and outputs firework animation. In our preliminary study, we identified the relationships among the animation parameters and skeleton joints. The system proposed in this study adapts these relationships using predefined parameter constraints and estimates the simulation parameters based on the captured skeleton from a depth sensor. User studies are also conducted to verify the effectiveness and potential uses of this system such as exercise promotion.

Keywords

  • User interface
  • Particle system
  • Firework animation
  • Body tracking

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References

  1. Ainsworth, B., et al.: Compendium of physical activities: an update of activity codes and met intensities. Med. Sci. Sports Exerc. 32, S498–504 (2000). https://doi.org/10.1097/00005768-200009001-00009

    CrossRef  Google Scholar 

  2. Alabbasi, H., Gradinaru, A., Moldoveanu, F., Moldoveanu, A.: Human motion tracking evaluation using kinect v2 sensor. In: 2015 E-Health and Bioengineering Conference (EHB), pp. 1–4 (2015)

    Google Scholar 

  3. Cannavò, A., Pratticò, F.G., Ministeri, G., Lamberti, F.: A movement analysis system based on immersive virtual reality and wearable technology for sport training. In: Proceedings of the 4th International Conference on Virtual Reality. ICVR 2018, New York, NY, USA, pp. 26–31. Association for Computing Machinery (2018). https://doi.org/10.1145/3198910.3198917

  4. Chen, T., Cheng, M.M., Tan, P., Shamir, A., Hu, S.M.: Sketch2photo: internet image montage. ACM Trans. Graph. 28(5), 1–10 (2009). https://doi.org/10.1145/1618452.1618470

    CrossRef  Google Scholar 

  5. Cui, X., Cai, R., Tang, X., Deng, Z., Jin, X.: Sketch-based shape-constrained fireworks simulation in head-mounted virtual reality. Comput. Animation Virtual Worlds 31(2), e1920 (2020). https://doi.org/10.1002/cav.1920

    CrossRef  Google Scholar 

  6. Hu, Z., Xie, H., Fukusato, T., Sato, T., Igarashi, T.: Sketch2vf: sketch-based flow design with conditional generative adversarial network. Comput. Animation Virtual Worlds 30(3–4), e1889 (2019). https://doi.org/10.1002/cav.1889

    CrossRef  Google Scholar 

  7. Iwaanaguchi, T., Shinya, M., Nakajima, S., Shiraishi, M.: Cyber tai chi-g-based video materials for tai chi chuan self-study. In: 2015 International Conference on Cyberworlds (CW), pp. 365–368 (2015)

    Google Scholar 

  8. Kelly, P., Healy, A., Moran, K., O’Connor, N.E.: A virtual coaching environment for improving golf swing technique. In: Proceedings of the 2010 ACM Workshop on Surreal Media and Virtual Cloning. SMVC 2010, New York, NY, USA, pp. 51–56. Association for Computing Machinery (2010). https://doi.org/10.1145/1878083.1878098

  9. Lee, B., Cho, M., Min, J., Saakes, D.: Posing and acting as input for personalizing furniture. In: Proceedings of the 9th Nordic Conference on Human-Computer Interaction. NordiCHI 2016, New York, NY, USA. Association for Computing Machinery (2016). https://doi.org/10.1145/2971485.2971487

  10. Peng, Y., et al.: Sketch2domino: interactive chain reaction design and guidance. In: 2020 Nicograph International (NicoInt), pp. 32–38 (2020)

    Google Scholar 

  11. Qiao, S., Wang, Y., Li, J.: Real-time human gesture grading based on openpose. In: 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), pp. 1–6 (2017)

    Google Scholar 

  12. Reeves, W.T.: Particle systems–a technique for modeling a class of fuzzy objects. ACM Trans. Graph. 2(2), 91–108 (1983). https://doi.org/10.1145/357318.357320

    CrossRef  Google Scholar 

  13. Xie, H., Watatani, A., Miyata, K.: Visual feedback for core training with 3D human shape and pose. In: 2019 Nicograph International (NicoInt), pp. 49–56 (2019)

    Google Scholar 

  14. Xie, H., Igarashi, T., Miyata, K.: Precomputed panel solver for aerodynamics simulation. ACM Trans. Graph., 37(2), March 2018. https://doi.org/10.1145/3185767

  15. Zhang, Y., et al.: Bodyavatar: creating freeform 3D avatars using first-person body gestures. In: Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology. UIST 2013, New York, NY, USA, pp. 387–396. Association for Computing Machinery (2013). https://doi.org/10.1145/2501988.2502015

  16. Zhao, H., Fan, R., Wang, C.C.L., Jin, X., Meng, Y.: Fireworks controller. Comput. Animation Virtual Worlds, 20(2–3), 185–194 (2009). https://doi.org/10.1002/cav.287, https://onlinelibrary.wiley.com/doi/abs/10.1002/cav.287

  17. Zhu, B., et al.: Sketch-based dynamic illustration of fluid systems. ACM Trans. Graph. 30(6), 1–8 (2011). https://doi.org/10.1145/2070781.2024168

    CrossRef  Google Scholar 

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Acknowledgments

We greatly thank reviewers for their valuable comments, and all the participants in our user study. This work was supported by Hayao Nakayama Foundation Research Grant A, and JSPS KAKENHI grant JP20K19845, Japan.

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Correspondence to Haoran Xie .

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Xie, H., Xie, D., Miyata, K. (2020). Body2Particles: Designing Particle Systems Using Body Gestures. In: Nunes, N.J., Ma, L., Wang, M., Correia, N., Pan, Z. (eds) Entertainment Computing – ICEC 2020. ICEC 2020. Lecture Notes in Computer Science(), vol 12523. Springer, Cham. https://doi.org/10.1007/978-3-030-65736-9_40

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  • DOI: https://doi.org/10.1007/978-3-030-65736-9_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-65735-2

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