Commercial Data Glove Selection for VR-based hand Rehabilitation Gaming project

Kunze He,N. Choosri

Published 2023 in 2023 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON)

ABSTRACT

The aim of this research is to understand and seek out characteristics of commercial data gloves that are feasible to use in serious exergame projects for hand rehabilitation. In this research, we have collected a list of currently available commercial data gloves from several sources. We holistically considered several implementation and medical aspects. We have found that out of the 12 eligible devices, 9 to 10 devices are feasible to use in hand dexterity tests. There are some critical criteria that can be extracted to decide whether a glove is ably applied in specific dexterity tests. In FMA-UE, the gloves should enable force feedback and have the ability to provide abduction and adduction motion tracking at the thumb position. In ARAT and WMFT metrics, the data glove should be able to provide E/F(Include TM joint) at the thumb to provide a more-refined display of finger movements.

PUBLICATION RECORD

  • Publication year

    2023

  • Venue

    2023 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON)

  • Publication date

    2023-03-22

  • Fields of study

    Not labeled

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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