abstract

Acoustruments: passive, acoustically-driven, interactive controls for handheld devices

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Chris HarrisonAuthors Info & Claims

SIGGRAPH '15: ACM SIGGRAPH 2015 Emerging Technologies

Article No.: 3, Page 1

https://doi.org/10.1145/2782782.2792490

Published: 31 July 2015 Publication History

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Abstract

Smartphones and handheld devices are increasingly being used in interactive applications beyond their conventional touchscreens. For example, tangibles allow users to interact with mobile devices using physical objects both on screen and around the device. Similarly, there is a growing class of auxiliary devices that require a smartphone to be docked, transforming an otherwise simple object into something with rich interactivity. However, these auxiliary devices still require numerous components, including mechanical mechanisms, PCBs, and sometimes batteries. This increases manufacturing costs, and reduces physical robustness.

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[1]

Laput, G., Brockmeyer, E., Hudson, S. E., Harrison, C. Acoustruments: Passive, Acoustically-Driven, Interactive Controls for Handheld Devices. In Proc. CHI'15.

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Bellino ADe Michelis GDe Paoli F(2023)Design and Evaluation of Protobject: A Tool for Rapid Prototyping of Interactive ProductsIEEE Access10.1109/ACCESS.2023.324287311(13280-13292)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3242873
Masuda NFurukawa KYairi I(2022)Stetho Touch: Touch Action Recognition System by Deep Learning with Stethoscope Acoustic SensingJournal of Information Processing10.2197/ipsjjip.30.71830(718-728)Online publication date: 2022
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Wu TYang X(2022)iWood: Makeable Vibration Sensor for Interactive PlywoodProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545640(1-12)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1145/3526113.3545640
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Acoustruments: passive, acoustically-driven, interactive controls for handheld devices

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SIGGRAPH '15: ACM SIGGRAPH 2015 Emerging Technologies

July 2015

27 pages

ISBN:9781450336352

DOI:10.1145/2782782

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.

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Association for Computing Machinery

New York, NY, United States

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Published: 31 July 2015

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SIGGRAPH '15

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SIGGRAPH

SIGGRAPH '15: Special Interest Group on Computer Graphics and Interactive Techniques Conference

August 9 - 13, 2015

California, Los Angeles

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Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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https://doi.org/10.1109/ACCESS.2023.3242873
Masuda NFurukawa KYairi I(2022)Stetho Touch: Touch Action Recognition System by Deep Learning with Stethoscope Acoustic SensingJournal of Information Processing10.2197/ipsjjip.30.71830(718-728)Online publication date: 2022
https://doi.org/10.2197/ipsjjip.30.718
Wu TYang X(2022)iWood: Makeable Vibration Sensor for Interactive PlywoodProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545640(1-12)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1145/3526113.3545640
Cai CZheng RLuo J(2022)Ubiquitous Acoustic Sensing on Commodity IoT Devices: A SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2022.314585624:1(432-454)Online publication date: Sep-2023
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