Transparent mask: Face-capturing head-mounted display with IR pass filters

Mariko Chiba, Wataru Yamada, Hiroyuki Manabe

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

Head-mounted displays (HMDs) are key elements of portable virtual reality (VR); they provide highly immersive experiences with a simple setup. One problem is that normal HMDs hide the user's face. This paper proposes a novel HMD that uses infrared (IR) pass filters and a single IR camera to permit face-capture. Since the HMD enclosure consists of IR pass filters, which transmit infrared light but block visible light, the IR camera can capture the user's face while the user is immersed in the virtual space. We implement a prototype and confirm that the proposed HMD can capture the user's face while showing VR images. This paper discusses the unique characteristics and possible applications of the proposed method.

元の言語English
ホスト出版物のタイトルUIST 2018 Adjunct - Adjunct Publication of the 31st Annual ACM Symposium on User Interface Software and Technology
出版者Association for Computing Machinery, Inc
ページ149-151
ページ数3
ISBN(電子版)9781450359498
DOI
出版物ステータスPublished - 2018 10 11
外部発表Yes
イベント31st Annual ACM Symposium on User Interface Software and Technology, UIST 2018 - Berlin, Germany
継続期間: 2018 10 142018 10 17

出版物シリーズ

名前UIST 2018 Adjunct - Adjunct Publication of the 31st Annual ACM Symposium on User Interface Software and Technology

Conference

Conference31st Annual ACM Symposium on User Interface Software and Technology, UIST 2018
Germany
Berlin
期間18/10/1418/10/17

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

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  • これを引用

    Chiba, M., Yamada, W., & Manabe, H. (2018). Transparent mask: Face-capturing head-mounted display with IR pass filters. : UIST 2018 Adjunct - Adjunct Publication of the 31st Annual ACM Symposium on User Interface Software and Technology (pp. 149-151). (UIST 2018 Adjunct - Adjunct Publication of the 31st Annual ACM Symposium on User Interface Software and Technology). Association for Computing Machinery, Inc. https://doi.org/10.1145/3266037.3271632