Stable haptic feedback generation during mid air interactions using hidden markov model based motion synthesis: Increasing and stabilizing motion frame rate

Dennis Babu, Hikaru Nagano, Masashi Konyo, Ryunosuke Hamada, Satoshi Tadokoro

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

1 Citation (Scopus)

Abstract

Generation of stable and realistic haptic feedback during mid-air gesture interactions has garnered significant research interests recently. The depth camera based tracking systems used for motion capture has low and non-uniform frame rates which adversely affects high fidelity haptic feedback based on motion pattern. In this paper, we propose and implement a Hidden Markov Model based motion element synthesis for stable and higher frame rate motion artifact synthesis and subsequently improve haptic feedback rendering.

Original languageEnglish
Title of host publication24th International Display Workshops, IDW 2017
PublisherInternational Display Workshops
Pages113-115
Number of pages3
ISBN (Electronic)9781510858992
Publication statusPublished - 2017
Event24th International Display Workshops, IDW 2017 - Sendai, Japan
Duration: 2017 Dec 62017 Dec 8

Publication series

NameProceedings of the International Display Workshops
Volume1
ISSN (Print)1883-2490

Other

Other24th International Display Workshops, IDW 2017
Country/TerritoryJapan
CitySendai
Period17/12/617/12/8

Keywords

  • Haptic feedback
  • Mid-air interactions
  • Motion synthesis
  • Vibrotactile

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Radiology Nuclear Medicine and imaging

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