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

Ryota Matsui; Kaho Kato; Yuta Sugiura

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

Ryota Matsui, Kaho Kato, Yuta Sugiura

Department of Information and Computer Science

Research output: Contribution to journal › Conference article › peer-review

Abstract

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 language	English
Pages (from-to)	935-938
Number of pages	4
Journal	Proceedings of the International Display Workshops
Volume	27
Publication status	Published - 2021 Dec 9
Event	27th International Display Workshops, IDW 2020 - Virtual, Online Duration: 2020 Dec 9 → 2020 Dec 11

Keywords

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

Cite this

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title = "Human movement recognition using internal sensors of a smartphone-based HMD",

abstract = "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%.",

keywords = "Interaction, Movement Recognition, Sensor, Smartphone, Virtual Reality",

author = "Ryota Matsui and Kaho Kato and Yuta Sugiura",

note = "Funding Information: This work was supported by JST AIP-PRISM Grant Number JPMJCR18Y2. Publisher Copyright: {\textcopyright} 2020 ITE and SID.; 27th International Display Workshops, IDW 2020 ; Conference date: 09-12-2020 Through 11-12-2020",

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AU - Kato, Kaho

AU - Sugiura, Yuta

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N2 - 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%.

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KW - Virtual Reality

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T2 - 27th International Display Workshops, IDW 2020

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ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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