Gesture recognition of air-tapping and its application to character input in VR space

Mamoru Hirota, Masayuki Yokoyama, Ayumu Tsuboi, Masao Yanagisawa

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

4 Citations (Scopus)

Abstract

The motion of the finger is made up of a combination of forearm part (extrinsic) muscles and hand part (intrinsic) muscles. We have created a wearable fingerless glove controller to sense sEMG(surface Electromyography) from intrinsic muscles using dry electrodes [Tsuboi et al. 2017].Recognition of air-tapping gesture with a sensor attached to wearable finger-less glove controller is a challenging problem. In this study, we focused on motion recognition of air-tapping and performed motion recognition using CNN and evaluated its accuracy. As a result, the accuracy in intra-subject identification was 85.05%. Also, experiments are currently being conducted in anticipation of character input in VR space [Grubert et al. 2018]. Character input experiment in VR space was carried out using sEMG wearable fingerless glove controller, as a primitive experiment of the use of sEMG glove in VR space. Based on the results, we discussed the efficiency of character input using sEMG glove in VR space.

Original languageEnglish
Title of host publicationSIGGRAPH Asia 2018 Posters, SA 2018
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450360630
DOIs
Publication statusPublished - 2018 Dec 4
EventSIGGRAPH Asia 2018 Posters - International Conference on Computer Graphics and Interactive Techniques, SA 2018 - Tokyo, Japan
Duration: 2018 Dec 42018 Dec 7

Publication series

NameSIGGRAPH Asia 2018 Posters, SA 2018

Other

OtherSIGGRAPH Asia 2018 Posters - International Conference on Computer Graphics and Interactive Techniques, SA 2018
Country/TerritoryJapan
CityTokyo
Period18/12/418/12/7

Keywords

  • Finger Gesture Recognition,I/F
  • Interface
  • SEMG
  • VR

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software
  • Computer Vision and Pattern Recognition

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