TouchPair: Dynamic analog-digital object pairing for tangible interaction using 3D point cloud data

Unseok Lee, Jiro Tanaka

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

Abstract

Sensor-based pairing technology between digital objects for interactions are used widely (e.g., smart phone to Bluetooth headset). In addition, research about interactions between daily normal analog objects (e.g., a doll, Lego block) and digital objects has progressed and is also popular. However, such research can only involve interactions with presetup objects. The paired objects cannot be changed dynamically. In this paper, we propose a new analog-digital object pairing method by intuitive touch interactions using three-dimensional point cloud data. Several touch pairing methods are described in detail and paired objects are changed dynamically using the proposed method. In addition, a simple tangible interaction between two objects is described after pairing. Finally, we demonstrate the high recognition rate of the proposed method using experiments and describe our system's contribution.

Original languageEnglish
Title of host publicationACHI 2014 - 7th International Conference on Advances in Computer-Human Interactions
PublisherInternational Academy, Research and Industry Association, IARIA
Pages166-171
Number of pages6
ISBN (Electronic)9781612083254
Publication statusPublished - 2014
Externally publishedYes
Event7th International Conference on Advances in Computer-Human Interactions, ACHI 2014 - Barcelona, Spain
Duration: 2014 Mar 232014 Mar 27

Other

Other7th International Conference on Advances in Computer-Human Interactions, ACHI 2014
CountrySpain
CityBarcelona
Period14/3/2314/3/27

Keywords

  • 3d gesture
  • Dynamic pairing
  • Human computer interaction
  • Point cloud
  • Tangible interaction

ASJC Scopus subject areas

  • Human-Computer Interaction

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  • Cite this

    Lee, U., & Tanaka, J. (2014). TouchPair: Dynamic analog-digital object pairing for tangible interaction using 3D point cloud data. In ACHI 2014 - 7th International Conference on Advances in Computer-Human Interactions (pp. 166-171). International Academy, Research and Industry Association, IARIA.