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Ear-AR: indoor acoustic augmented reality on earphones

Authors:

Romit Roy ChoudhuryAuthors Info & Claims

MobiCom '20: Proceedings of the 26th Annual International Conference on Mobile Computing and Networking

Article No.: 56, Pages 1 - 14

https://doi.org/10.1145/3372224.3419213

Published: 18 September 2020 Publication History

Abstract

This paper aims to use modern earphones as a platform for acoustic augmented reality (AAR). We intend to play 3D audio-annotations in the user's ears as she moves and looks at AAR objects in the environment. While companies like Bose and Microsoft are beginning to release such capabilities, they are intended for outdoor environments. Our system aims to explore the challenges indoors, without requiring any infrastructure deployment. Our core idea is two-fold. (1) We jointly use the inertial sensors (IMUs) in earphones and smartphones to estimate a user's indoor location and gazing orientation. (2) We play 3D sounds in the earphones and exploit the human's responses to (re)calibrate errors in location and orientation. We believe this fusion of IMU and acoustics is novel, and could be an important step towards indoor AAR. Our system, Ear-AR, is tested on 7 volunteers invited to an AAR exhibition - like a museum - that we set up in our building's lobby and lab. Across 60 different test sessions, the volunteers browsed different subsets of 24 annotated objects as they walked around. Results show that Ear-AR plays the correct audio-annotations with good accuracy. The user-feedback is encouraging and points to further areas of research and applications.

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Index Terms

Ear-AR: indoor acoustic augmented reality on earphones

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MobiCom '20: Proceedings of the 26th Annual International Conference on Mobile Computing and Networking

April 2020

621 pages

ISBN:9781450370851

DOI:10.1145/3372224

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Published: 18 September 2020

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MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking

September 21 - 25, 2020

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Xia CMin TSugiura Y(2024)AudioMove: Applying the Spatial Audio to Multi-Directional Limb Exercise GuidanceProceedings of the ACM on Human-Computer Interaction10.1145/36764898:MHCI(1-26)Online publication date: 24-Sep-2024
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