ChladniSonify: A Visual-Acoustic Mapping Method for Chladni Patterns in New Media Art Creation
In new media art creation, the mapping between vision and hearing is often subjective. As a classic carrier of sound visualization, Chladni patterns have great potential in building audio-visual mapping mechanisms. However, existing tools face pain points: high technical barriers for simulation, offline computing failing real-time interaction, and uncontrollable mapping rules in general sonification tools. To address these, this paper proposes ChladniSonify, a real-time visual-acoustic mapping method for Chladni patterns. Based on Kirchhoff-Love plate theory, we build a paired dataset via numerical programming and calibrate it using ANSYS finite element simulation. Focusing on the slender...
| Authors | Yakun Liu, Hai Luan, Dong Liu et al. |
|---|---|
| Primary category | cs.SD |
| Published | 11 May 2026 |
| Last updated at source | 11 May 2026 |
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