OptiTrap: Optimal Trap Trajectories for Acoustic Levitation Displays
OptiTrap: Optimal Trap Trajectories for Acoustic Levitation Displays
复制标题
OptiTrap:声悬浮显示器的最佳陷阱轨迹
DOI:
10.1145/3517746
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发表时间:
2022
影响因子:
6.2
通讯作者:
Paneva V
中科院分区:
文献类型:
--
作者:
Paneva V
Acoustic levitation has recently demonstrated the ability to create volumetric content by trapping and quickly moving particles along reference paths to reveal shapes in mid-air. However, the problem of specifying physically feasible trap trajectories to display desired shapes remains unsolved. Even if only the final shape is of interest to the content creator, the trap trajectories need to determine where and when the traps need to be, for the particle to reveal the intended shape. We proposeOptiTrap, the first structured numerical approach to compute trap trajectories for acoustic levitation displays. Our approach generates trap trajectories that are physically feasible and nearly time-optimal, and reveal generic mid-air shapes, given only a reference path (i.e., a shape with no time information). We provide a multi-dimensional model of the acoustic forces around a trap to model the trap-particle system dynamics and compute optimal trap trajectories by formulating and solving a non-linear path following problem. We formulate our approach and evaluate it, demonstrating howOptiTrapconsistently produces feasible and nearly optimal paths, with increases in size, frequency, and accuracy of the shapes rendered, allowing us to demonstrate larger and more complex shapes than ever shown to date.
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DOI:
10.1145/3343055.3359704
发表时间:
2019-11
期刊:
Proceedings of the 2019 ACM International Conference on Interactive Surfaces and Spaces
影响因子:
--
作者:
M. A. Norasikin;D. M. Plasencia;G. Memoli;S. Subramanian
通讯作者:
M. A. Norasikin;D. M. Plasencia;G. Memoli;S. Subramanian
DOI:
10.1145/3411764.3445342
发表时间:
2021
期刊:
--
影响因子:
--
作者:
Fender A
通讯作者:
Fender A
影响因子:
4
作者:
Fushimi, T.;Hil, T. L.;Drinkwater, B. W.
通讯作者:
Drinkwater, B. W.
DOI:
10.1145/3313831.3376409
发表时间:
2020
期刊:
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
影响因子:
--
作者:
Viktorija Paneva;Myroslav Bachynskyi;Jörg Müller
通讯作者:
Jörg Müller
影响因子:
16.6
作者:
Marzo A;Seah SA;Drinkwater BW;Sahoo DR;Long B;Subramanian S
通讯作者:
Subramanian S