A rapid prototyping toolkit for touch sensitive objects using active acoustic sensing

Makoto Ono*, Buntarou Shizuki, Jiro Tanaka

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a prototyping toolkit for creating touch sensitive prototypes from everyday objects without needing special skills such as code writing or designing circuits. This toolkit consists of an acoustic based touch sensor module that captures the resonant properties of objects, software modules including one that recognizes how an object is touched by using machine learning, and plugins for visual programming environments such as Scratch and Max/MSP. As a result, our toolkit enables users to easily configure the response of touches using a wide variety of visual or audio responses. We believe that our toolkit expands the creativity of a nonspecialist, such as children and media artists.

Original languageEnglish
Title of host publicationUIST 2014 - Adjunct Publication of the 27th Annual ACM Symposium on User Interface Software and Technology
PublisherAssociation for Computing Machinery, Inc
Pages35-36
Number of pages2
ISBN (Electronic)9781450330688
DOIs
Publication statusPublished - 2014 Oct 5
Externally publishedYes
Event27th Annual ACM Symposium on User Interface Software and Technology, UIST 2014 - Honolulu, United States
Duration: 2014 Oct 52014 Oct 8

Publication series

NameUIST 2014 - Adjunct Publication of the 27th Annual ACM Symposium on User Interface Software and Technology

Other

Other27th Annual ACM Symposium on User Interface Software and Technology, UIST 2014
Country/TerritoryUnited States
CityHonolulu
Period14/10/514/10/8

Keywords

  • Acoustic classification
  • OpenSound Control
  • Piezo-electric sensor
  • Prototyping
  • Sensors
  • Support vector machine
  • Tangibles
  • Visual programming
  • machine learning

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Software

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