Touch & Activate: Adding interactivity to existing objects using active acoustic sensing

Makoto Ono, Buntarou Shizuki, Jiro Tanaka

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

87 Citations (Scopus)

Abstract

In this paper, we present a novel acoustic touch sensing technique called Touch & Activate. It recognizes a rich context of touches including grasp on existing objects by attaching only a vibration speaker and a piezo-electric microphone paired as a sensor. It provides easy hardware configuration for prototyping interactive objects that have touch input capability. We conducted a controlled experiment to measure the accuracy and trade-off between the accuracy and number of training rounds for our technique. From its results, per-user recognition accuracies with five touch gestures for a plastic toy as a simple example and six hand postures for the posture recognition as a complex example were 99.6% and 86.3%, respectively. Walk up user recognition accuracies for the two applications were 97.8% and 71.2%, respectively. Since the results of our experiment showed a promising accuracy for the recognition of touch gestures and hand postures, Touch & Activate should be feasible for prototyping interactive objects that have touch input capability.

Original languageEnglish
Title of host publicationUIST 2013 - Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology
Pages31-40
Number of pages10
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event26th Annual ACM Symposium on User Interface Software and Technology, UIST 2013 - St. Andrews, United Kingdom
Duration: 2013 Oct 82013 Oct 11

Publication series

NameUIST 2013 - Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology

Conference

Conference26th Annual ACM Symposium on User Interface Software and Technology, UIST 2013
Country/TerritoryUnited Kingdom
CitySt. Andrews
Period13/10/813/10/11

Keywords

  • Acoustic classification
  • Gestures
  • Grasp
  • Machine learning
  • Piezo-electric sensor
  • Prototyping
  • Sensors
  • Support vector machine
  • Tangibles
  • Touch

ASJC Scopus subject areas

  • Software

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