Cushion interface for smart home control

Yuri Suzuki, Kaho Kato, Naomi Furui, Daisuke Sakamoto, Yuta Sugiura

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

Abstract

In this research, we present a cushion interface for operating smart home applications.We developed a gesture recognition system using convolutional neural networks and embedded the acceleration sensor arrays in the cushion cover. To evaluate the system, we conducted experiments and measured recognition accuracy.

Original languageEnglish
Title of host publicationTEI 2020 - Proceedings of the 14th International Conference on Tangible, Embedded, and Embodied Interaction
PublisherAssociation for Computing Machinery, Inc
Pages467-472
Number of pages6
ISBN (Electronic)9781450361071
DOIs
Publication statusPublished - 2020 Feb 6
Event14th International Conference on Tangible, Embedded, and Embodied Interaction, TEI 2020 - Sydney, Australia
Duration: 2020 Feb 92020 Feb 12

Publication series

NameTEI 2020 - Proceedings of the 14th International Conference on Tangible, Embedded, and Embodied Interaction

Conference

Conference14th International Conference on Tangible, Embedded, and Embodied Interaction, TEI 2020
CountryAustralia
CitySydney
Period20/2/920/2/12

Keywords

  • Multiple Sensors
  • Soft User Interface
  • Tangible User Interface

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Information Systems
  • Software

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  • Cite this

    Suzuki, Y., Kato, K., Furui, N., Sakamoto, D., & Sugiura, Y. (2020). Cushion interface for smart home control. In TEI 2020 - Proceedings of the 14th International Conference on Tangible, Embedded, and Embodied Interaction (pp. 467-472). (TEI 2020 - Proceedings of the 14th International Conference on Tangible, Embedded, and Embodied Interaction). Association for Computing Machinery, Inc. https://doi.org/10.1145/3374920.3374974