Realistic visual simulation of water effects in response to human motion using a depth camera

Jong Hyun Kim, Jung Lee, Chang Hun Kim, Sun Jeong Kim

Research output: Contribution to journalArticlepeer-review


In this study, we propose a new method for simulating water responding to human motion. Motion data obtained from motion-capture devices are represented as a jointed skeleton, which interacts with the velocity field in the water simulation. To integrate the motion data into the water simulation space, it is necessary to establish a mapping relationship between two fields with different properties. However, there can be severe numerical instability if the mapping breaks down, with the realism of the human–water interaction being adversely affected. To address this problem, our method extends the joint velocity mapped to each grid point to neighboring nodes. We refine these extended velocities to enable increased robustness in the water solver. Our experimental results demonstrate that water animation can be made to respond to human motions such as walking and jumping.

Original languageEnglish
Pages (from-to)1019-1031
Number of pages13
JournalKSII Transactions on Internet and Information Systems
Issue number2
Publication statusPublished - 2017 Feb 28


  • Coupling of water and human motion
  • Human motion
  • Human–water interaction
  • Microsoft Kinect
  • Particle-based fluids

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications


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