ThunderPunch : A bare-hand, gesture-based, large interactive display interface with upper-body-part detection in a top view
We present a new bare-hand gesture interface for large-screen interaction in which multiple users can participate simultaneously and interact with virtual content directly. To better reflect the intent of our new interface, we have created a new type of hardware system with a large hybrid display, named ThunderPunch. Unlike the conventional method, which involves positioning the camera in front, the cameras are mounted on the ceiling so that they avoid covering the large screen. To achieve bare-hand interaction in this hardware structure, we propose real-time algorithms that detect multiple body poses and recognize punching and touching gestures from top-view depth images. A pointing and touching test shows that the proposed algorithm is usable and that it outperforms other algorithms. In addition, we created a game to make the best use of the proposed system.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2018 |
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| Erschienen: |
2018 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:38 |
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| Enthalten in: |
IEEE computer graphics and applications - 38(2018), 5 vom: 01. Sept., Seite 100-111 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Kim, Daehwan [VerfasserIn] |
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| Links: |
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| Themen: |
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| Anmerkungen: |
Date Completed 28.02.2019 Date Revised 28.02.2019 published: Print Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1109/MCG.2018.053491734 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM289088143 |
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| 520 | |a We present a new bare-hand gesture interface for large-screen interaction in which multiple users can participate simultaneously and interact with virtual content directly. To better reflect the intent of our new interface, we have created a new type of hardware system with a large hybrid display, named ThunderPunch. Unlike the conventional method, which involves positioning the camera in front, the cameras are mounted on the ceiling so that they avoid covering the large screen. To achieve bare-hand interaction in this hardware structure, we propose real-time algorithms that detect multiple body poses and recognize punching and touching gestures from top-view depth images. A pointing and touching test shows that the proposed algorithm is usable and that it outperforms other algorithms. In addition, we created a game to make the best use of the proposed system | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 700 | 1 | |a Kim, Hye-Mi |e verfasserin |4 aut | |
| 700 | 1 | |a Kim, Hang-Kee |e verfasserin |4 aut | |
| 700 | 1 | |a Park, Su-Ran |e verfasserin |4 aut | |
| 700 | 1 | |a Lee, Ki-Suk |e verfasserin |4 aut | |
| 700 | 1 | |a Kim, Ki-Hong |e verfasserin |4 aut | |
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