Sensing touch force using active acoustic sensing

Makoto Ono, Buntarou Shizuki, Jiro Tanaka

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

14 Citations (Scopus)

Abstract

We present a lightweight technique with which creators can prototype force-sensitive objects by attaching a pair of piezoelectric elements: one a vibration speaker and one a contact microphone. The key idea behind our technique is that touch force, in addition to the way the object is touched, can also be observed as different resonant frequency spectra. We also show that recognition of a touch and estimation of the touch force can be implemented by using the combination of support vector classification (SVC) and support vector regression (SVR). An experiment with an additional pressure sensor revealed that our technique might perform well in estimating touch force. We also show a tool for machine learning based on our technique that uses an animated guide, allowing creators to give the system both the training data and the labels for training machine learning needed for dealing with continuous-valued output such as SVR.

Original languageEnglish
Title of host publicationTEI 2015 - Proceedings of the 9th International Conference on Tangible, Embedded, and Embodied Interaction
PublisherAssociation for Computing Machinery, Inc
Pages355-358
Number of pages4
ISBN (Electronic)9781450333054
DOIs
Publication statusPublished - 2015 Jan 15
Externally publishedYes
Event9th International Conference on Tangible, Embedded, and Embodied Interaction, TEI 2015 - Stanford, United States
Duration: 2015 Jan 152015 Jan 19

Other

Other9th International Conference on Tangible, Embedded, and Embodied Interaction, TEI 2015
CountryUnited States
CityStanford
Period15/1/1515/1/19

Fingerprint

Acoustics
Learning systems
Pressure sensors
Microphones
Labels
Natural frequencies
Experiments

Keywords

  • Acoustic classification
  • Machine learning
  • Piezoelectric sensor
  • Pressure
  • Prototyping
  • Support vector classification
  • Support vector machine
  • Support vector regression
  • Tangential force
  • Tangibles

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Software

Cite this

Ono, M., Shizuki, B., & Tanaka, J. (2015). Sensing touch force using active acoustic sensing. In TEI 2015 - Proceedings of the 9th International Conference on Tangible, Embedded, and Embodied Interaction (pp. 355-358). Association for Computing Machinery, Inc. https://doi.org/10.1145/2677199.2680585

Sensing touch force using active acoustic sensing. / Ono, Makoto; Shizuki, Buntarou; Tanaka, Jiro.

TEI 2015 - Proceedings of the 9th International Conference on Tangible, Embedded, and Embodied Interaction. Association for Computing Machinery, Inc, 2015. p. 355-358.

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

Ono, M, Shizuki, B & Tanaka, J 2015, Sensing touch force using active acoustic sensing. in TEI 2015 - Proceedings of the 9th International Conference on Tangible, Embedded, and Embodied Interaction. Association for Computing Machinery, Inc, pp. 355-358, 9th International Conference on Tangible, Embedded, and Embodied Interaction, TEI 2015, Stanford, United States, 15/1/15. https://doi.org/10.1145/2677199.2680585
Ono M, Shizuki B, Tanaka J. Sensing touch force using active acoustic sensing. In TEI 2015 - Proceedings of the 9th International Conference on Tangible, Embedded, and Embodied Interaction. Association for Computing Machinery, Inc. 2015. p. 355-358 https://doi.org/10.1145/2677199.2680585
Ono, Makoto ; Shizuki, Buntarou ; Tanaka, Jiro. / Sensing touch force using active acoustic sensing. TEI 2015 - Proceedings of the 9th International Conference on Tangible, Embedded, and Embodied Interaction. Association for Computing Machinery, Inc, 2015. pp. 355-358
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