Point-Wise Vibration Pattern Production via a Sparse Actuator Array for Surface Tactile Feedback
<|reference_start|>Point-Wise Vibration Pattern Production via a Sparse Actuator Array for Surface Tactile Feedback: Surface vibration tactile feedback is capable of conveying various semantic information to humans via the handheld electronic devices, like smartphone, touch panel,and game controller. However, covering the whole device contacting surface with dense actuator arrangement can affect its normal use, how to produce desired vibration patterns at any contact point with only several sparse actuators deployed on the handled device surface remains a significant challenge. In this work, we develop a tactile feedback board with only five actuators in the size of a smartphone, and achieve the precise vibration pattern production that can focus at any desired position all over the board. Specifically, we investigate the vibration characteristics of single passive coil actuator, and construct its vibration pattern model at any position on the feedback board surface. Optimal phase and amplitude modulation, found with the simulated annealing algorithm, is employed with five actuators in a sparse array. And all actuators' vibration patterns are superimposed linearly to synthetically generate different onboard vibration energy distribution for tactile sensing. Experiments demonstrated that for point-wise vibration pattern production on our tactile board achieved an average level of about 0.9 in the Structural Similarity Index Measure (SSIM) evaluation, when compared to the ideal single-point-focused target vibration pattern. The sparse actuator array can be easily embedded into usual handheld electronic devices, which shows a good significant implication for enriching their haptic interaction functionalities.<|reference_end|>
@article{li2024point-wise,
    title={Point-Wise Vibration Pattern Production via a Sparse Actuator Array for
  Surface Tactile Feedback},
    author={Xiaosa Li, Runze Zhao, Chengyue Lu, Xiao Xiao and Wenbo Ding},
    journal={arXiv preprint arXiv:2402.11496},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.11496},
    primaryClass={cs.RO}
}