Human movement recognition using internal sensors of a smartphone-based HMD

Ryota Matsui, Kaho Kato, Yuta Sugiura

Research output: Contribution to journalConference articlepeer-review


This paper aims to recognize human movements using the internal sensors of a smartphone-based head-mounted display (HMD). The internal sensors of the smartphone are used to recognize human movements, such as jumping and turning. In our experiment, the average movement recognition accuracy for 16 movements was 92.03%.

Original languageEnglish
Pages (from-to)935-938
Number of pages4
JournalProceedings of the International Display Workshops
Publication statusPublished - 2021 Dec 9
Event27th International Display Workshops, IDW 2020 - Virtual, Online
Duration: 2020 Dec 92020 Dec 11


  • Interaction
  • Movement Recognition
  • Sensor
  • Smartphone
  • Virtual Reality

ASJC Scopus subject areas

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


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