T2Snaker: a Robotic Coach for Table Tennis

Kodai Fuchino, Mohammed Al-Sada, Tamon Miyake, Tatsuo Nakajima

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

Abstract

The restrictions imposed by the Covid-19 pandemic has significantly affected all aspects of daily life, especially human contact. Accordingly, an essential aspect of human contact is for training and skill acquisition, which is difficult to conduct under such restrictions. Therefore, we developed T2Snaker, a table tennis training system that comprises a robotic appendage to guide user's hand movements within a VR environment. T2Snaker's novelty lies in its flexibility to guide users movements, yet as it is not directly attached to the user's limbs, it does not impose restrictions on their movements like traditional exoskeleton systems. We explain the implementation specifics of T2Snaker and discuss its preliminary evaluation that focused on table-tennis skill acquisition. The results show that T2Snaker has high potential in skill acquisition, and users praised is ability to guide their movements and proposed various potential application domains. We discuss some design insights based on our work and present future research directions.

Original languageEnglish
Title of host publicationProceedings of Augmented Humans Conference 2022, AHs 2022
PublisherAssociation for Computing Machinery
Pages305-308
Number of pages4
ISBN (Electronic)9781450396325
DOIs
Publication statusPublished - 2022 Mar 13
Event2022 Augmented Humans Conference, AHs 2022 - Virtual, Online, Germany
Duration: 2022 Mar 132022 Mar 15

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2022 Augmented Humans Conference, AHs 2022
Country/TerritoryGermany
CityVirtual, Online
Period22/3/1322/3/15

Keywords

  • Appendages
  • Augmentation
  • Education
  • Robotic
  • Serpentine
  • Snake;
  • Table Tennis
  • VR

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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