abstract

ScatAR: a mobile augmented reality application that uses scattering delay networks for room acoustic synthesis

Authors:

Alex Baldwin,

Stefania Serafin,

Cumhur ErkutAuthors Info & Claims

VRST '17: Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology

Article No.: 73, Pages 1 - 2

https://doi.org/10.1145/3139131.3141201

Published: 08 November 2017 Publication History

Get Access

Abstract

We present an augmented reality (AR) audio application where scattering delay networks efficiently generate and organize a reverberator, based on room geometry scanned by an AR device. The application allows for real-time processing and updating of reflection path geometry. It provides a proof-of-concept for plausible audio-spatial registration of a virtual object in a real environment, but further tests are needed in perceptual evaluation.

References

[1]

Ronald T. Azuma. 1997. A survey of augmented reality. Presence: Teleoperators and Virtual Environments 6, 4 (Aug. 1997), 355--385.

Digital Library

Google Scholar

[2]

Enzo De Sena, Hüseyin Hacıhabiboğlu, Zoran Cvetkovic, and Julius O Smith. 2015. Efficient synthesis of room acoustics via scattering delay networks. IEEE/ACM Transactions on Audio, Speech, and Language Processing 23, 9 (Sept. 2015), 1478--1492.

Google Scholar

[3]

Google. 2017. Tango Examples Unity. Github. (March 2017). Release Farandole.

Google Scholar

[4]

Ricardo Marques, Christian Bouville, Mickaël Ribardière, Luis Paulo Santos, and Kadi Bouatouch. 2013. Spherical Fibonacci point sets for illumination integrals. In Computer Graphics Forum, Vol. 32. Wiley Online Library, 134--143.

Crossref

Google Scholar

[5]

Orbcreation. 2014. Simple .OBJ. Unity Asset Store. (October 2014). Version 1.4 for Unity 4.5.0.

Google Scholar

Cited By

View all

Sato RKim S(2023)Subjective Evaluation on the Sense of "Being There" using Augmented reality Room Acoustic Estimator (ARAE) Platform2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)10.1109/ISMAR-Adjunct60411.2023.00141(657-662)Online publication date: 16-Oct-2023
https://doi.org/10.1109/ISMAR-Adjunct60411.2023.00141
Anne de Haas ELee L(2022)Deceiving Audio Design in Augmented Environments : A Systematic Review of Audio Effects in Augmented Reality2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)10.1109/ISMAR-Adjunct57072.2022.00018(36-43)Online publication date: Oct-2022
https://doi.org/10.1109/ISMAR-Adjunct57072.2022.00018
Erkut CHolfelt JSerafin S(2018)Mobile AR In and Out: Towards Delay-Based Modeling of Acoustic Scenes2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)10.1109/VR.2018.8446230(1-2)Online publication date: Mar-2018
https://doi.org/10.1109/VR.2018.8446230
Show More Cited By

Index Terms

ScatAR: a mobile augmented reality application that uses scattering delay networks for room acoustic synthesis
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Mixed / augmented reality
    2. Interaction techniques
      1. Auditory feedback

Recommendations

Inside - Outside Model Viewing
GRAPP 2016: Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications: Volume 1: GRAPP

Visualization of large scale 3D models has become an important part of the development cycle in many fields

like building design, machine design, construction and many more. Whether for design communication or

demonstration, it is necessary for the ...
Performance comparison of techniques for approximating image-based lighting by directional light sources
SCIA'07: Proceedings of the 15th Scandinavian conference on Image analysis

Image-Based Lighting (IBL) has become a very popular approach in computer graphics. In essence IBL is based on capturing the illumination conditions in a scene in an omni-directional image, called a light probe image. Using the illumination information ...
A classification scheme for multi-sensory augmented reality
VRST '07: Proceedings of the 2007 ACM symposium on Virtual reality software and technology

We present a new classification framework for describing augmented reality (AR) applications based on where the mixing of real and computer-generated stimuli takes place. In addition to "classical" visual AR techniques, such as optical-see-through and ...

Comments

Information & Contributors

Information

Published In

VRST '17: Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology

November 2017

437 pages

ISBN:9781450355483

DOI:10.1145/3139131

General Chairs:
Morten Fjeld
Chalmers University of Technology
,
Marco Fratarcangeli
Chalmers University of Technology
,
Daniel Sjölie
University of Gothenburg
,
Program Chairs:
Oliver Staadt
University of Rostock
,
Jonas Unger
Linköping University

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 November 2017

Check for updates

Author Tags

Qualifiers

Abstract

Conference

VRST '17

Sponsor:

VRST '17: 23rd ACM Symposium on Virtual Reality Software and Technology

November 8 - 10, 2017

Gothenburg, Sweden

Acceptance Rates

Overall Acceptance Rate 66 of 254 submissions, 26%

Upcoming Conference

VRST '24

Sponsor:
sigchi
sigchi

30th ACM Symposium on Virtual Reality Software and Technology

October 9 - 11, 2024

Trier , Germany

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
164
Total Downloads

Downloads (Last 12 months)10
Downloads (Last 6 weeks)0

Reflects downloads up to 15 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Sato RKim S(2023)Subjective Evaluation on the Sense of "Being There" using Augmented reality Room Acoustic Estimator (ARAE) Platform2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)10.1109/ISMAR-Adjunct60411.2023.00141(657-662)Online publication date: 16-Oct-2023
https://doi.org/10.1109/ISMAR-Adjunct60411.2023.00141
Anne de Haas ELee L(2022)Deceiving Audio Design in Augmented Environments : A Systematic Review of Audio Effects in Augmented Reality2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)10.1109/ISMAR-Adjunct57072.2022.00018(36-43)Online publication date: Oct-2022
https://doi.org/10.1109/ISMAR-Adjunct57072.2022.00018
Erkut CHolfelt JSerafin S(2018)Mobile AR In and Out: Towards Delay-Based Modeling of Acoustic Scenes2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)10.1109/VR.2018.8446230(1-2)Online publication date: Mar-2018
https://doi.org/10.1109/VR.2018.8446230
Baldwin ASerafin SErkut C(2018)Towards the Design and Evaluation of Delay-based Modeling of Acoustic Scenes in Mobile Augmented Reality2018 IEEE 4th VR Workshop on Sonic Interactions for Virtual Environments (SIVE)10.1109/SIVE.2018.8577129(1-5)Online publication date: Mar-2018
https://doi.org/10.1109/SIVE.2018.8577129

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Inside - Outside Model Viewing

Performance comparison of techniques for approximating image-based lighting by directional light sources

A classification scheme for multi-sensory augmented reality