Please use this identifier to cite or link to this item: https://bura.brunel.ac.uk/handle/2438/34168
Title: An Architecture for Constructing Mulsemedia Applications Using Real-Time Fluid Simulation
Authors: Gonçalves de Castro, Pedro Joaquim
Ribeiro Junior, Luís Claudio
de Oliveira Rodrigues, Renato
Ribeiro Furtado, Thiago
Saibel Santos, Celso Alberto
Muchaluat-Saade, Débora C
Ghinea, Gheorghita
Nunes Brandão, Diego
Dos Santos, Joel AF
Keywords: Mulsemedia;gaseous-like sensory effects;computational fluid dynamics;SPH
Issue Date: 24-Aug-2026
Publisher: Association for Computing Machinery (ACM)
Citation: Gonçalves de Castro, P.J. et al. (2026) 'An Architecture for Constructing Mulsemedia Applications Using Real-Time Fluid Simulation', ACM Transactions on Multimedia Computing, Communications, and Applications, 22(10), 286, pp. 1–21. doi: 10.1145/3843224.
Abstract: The integration of sensory effects—such as wind, heat, and scent—into multimedia applications holds great promise for enhancing user immersion and Quality of Experience (QoE). However, simulating the propagation of such effects in dynamic environments presents considerable challenges, particularly in achieving real-time interactivity, physical plausibility, and perceptual coherence. This article introduces an interactive simulation system based on Smoothed-Particle Hydrodynamics (SPH), designed to model gaseous-like sensory effects for real-time applications. The proposed architecture allows authors to configure virtual environments, define sensor and actuator properties, and simulate the behavior of sensory effects under different conditions. A wind-with-temperature simulation scenario is presented as a proof of concept, demonstrating the feasibility of the approach. Experimental results indicate that the proposed model captures key physical trends observed in real-world measurements. Thus, the proposed system provides a foundation for the design and evaluation of future mulsemedia experiences.
URI: https://bura.brunel.ac.uk/handle/2438/34168
DOI: https://doi.org/10.1145/3843224
ISSN: 1551-6857
Appears in Collections:Department of Computer Science Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © 2026 Copyright held by the owner/author(s). This work is licensed under Creative Commons Attribution International 4.0 (https://creativecommons.org/licenses/by/4.0/).17.81 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons