Physics-Inspired Input Method for Near-Field Mixed Reality Applications Using Latent Active Correction

Zhenliang Zhang; Yue Li; Dongdong Weng; Vue Liu; Yongtian Wang

doi:10.1109/VR.2018.8446291

Physics-Inspired Input Method for Near-Field Mixed Reality Applications Using Latent Active Correction

Zhenliang Zhang, Yue Li, Dongdong Weng, Vue Liu, Yongtian Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Calibration accuracy is one of the most important factors to affect the user experience in mixed reality applications. For a typical mixed reality system built with the optical see-Through head-mounted display (OST-HMD), a key problem is how to guarantee the accuracy of hand-eye coordination by decreasing the instability of the eye and the HMD in long-Term use. In this paper, we propose a real-Time latent active correction (LAC) algorithm to decrease hand-eye calibration errors accumulated over time. Experimental results show that we can successfully use the LAC algorithm to physics-inspired virtual input methods.

Original language	English
Title of host publication	25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings
Editors	Frank Steinicke, Bruce Thomas, Kiyoshi Kiyokawa, Greg Welch
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	737-738
Number of pages	2
ISBN (Print)	9781538633656
DOIs	https://doi.org/10.1109/VR.2018.8446291
Publication status	Published - 24 Aug 2018
Externally published	Yes
Event	25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Reutlingen, Germany Duration: 18 Mar 2018 → 22 Mar 2018

Publication series

Name	25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings

Conference

Conference	25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018
Country/Territory	Germany
City	Reutlingen
Period	18/03/18 → 22/03/18

Keywords

Human-centered computing-Human computer interaction (HCI)-Interaction paradigms-Graphical user interfaces

Access to Document

10.1109/VR.2018.8446291

Cite this

Zhang, Z., Li, Y., Weng, D., Liu, V., & Wang, Y. (2018). Physics-Inspired Input Method for Near-Field Mixed Reality Applications Using Latent Active Correction. In F. Steinicke, B. Thomas, K. Kiyokawa, & G. Welch (Eds.), 25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings (pp. 737-738). Article 8446291 (25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VR.2018.8446291

Zhang, Zhenliang ; Li, Yue ; Weng, Dongdong et al. / Physics-Inspired Input Method for Near-Field Mixed Reality Applications Using Latent Active Correction. 25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings. editor / Frank Steinicke ; Bruce Thomas ; Kiyoshi Kiyokawa ; Greg Welch. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 737-738 (25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings).

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title = "Physics-Inspired Input Method for Near-Field Mixed Reality Applications Using Latent Active Correction",

abstract = "Calibration accuracy is one of the most important factors to affect the user experience in mixed reality applications. For a typical mixed reality system built with the optical see-Through head-mounted display (OST-HMD), a key problem is how to guarantee the accuracy of hand-eye coordination by decreasing the instability of the eye and the HMD in long-Term use. In this paper, we propose a real-Time latent active correction (LAC) algorithm to decrease hand-eye calibration errors accumulated over time. Experimental results show that we can successfully use the LAC algorithm to physics-inspired virtual input methods.",

keywords = "Human-centered computing-Human computer interaction (HCI)-Interaction paradigms-Graphical user interfaces",

author = "Zhenliang Zhang and Yue Li and Dongdong Weng and Vue Liu and Yongtian Wang",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 ; Conference date: 18-03-2018 Through 22-03-2018",

year = "2018",

month = aug,

day = "24",

doi = "10.1109/VR.2018.8446291",

language = "English",

isbn = "9781538633656",

series = "25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "737--738",

editor = "Frank Steinicke and Bruce Thomas and Kiyoshi Kiyokawa and Greg Welch",

booktitle = "25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings",

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Zhang, Z, Li, Y, Weng, D, Liu, V & Wang, Y 2018, Physics-Inspired Input Method for Near-Field Mixed Reality Applications Using Latent Active Correction. in F Steinicke, B Thomas, K Kiyokawa & G Welch (eds), 25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings., 8446291, 25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 737-738, 25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018, Reutlingen, Germany, 18/03/18. https://doi.org/10.1109/VR.2018.8446291

Physics-Inspired Input Method for Near-Field Mixed Reality Applications Using Latent Active Correction. / Zhang, Zhenliang; Li, Yue; Weng, Dongdong et al.
25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings. ed. / Frank Steinicke; Bruce Thomas; Kiyoshi Kiyokawa; Greg Welch. Institute of Electrical and Electronics Engineers Inc., 2018. p. 737-738 8446291 (25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Zhang, Zhenliang

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AU - Weng, Dongdong

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AU - Wang, Yongtian

PY - 2018/8/24

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N2 - Calibration accuracy is one of the most important factors to affect the user experience in mixed reality applications. For a typical mixed reality system built with the optical see-Through head-mounted display (OST-HMD), a key problem is how to guarantee the accuracy of hand-eye coordination by decreasing the instability of the eye and the HMD in long-Term use. In this paper, we propose a real-Time latent active correction (LAC) algorithm to decrease hand-eye calibration errors accumulated over time. Experimental results show that we can successfully use the LAC algorithm to physics-inspired virtual input methods.

AB - Calibration accuracy is one of the most important factors to affect the user experience in mixed reality applications. For a typical mixed reality system built with the optical see-Through head-mounted display (OST-HMD), a key problem is how to guarantee the accuracy of hand-eye coordination by decreasing the instability of the eye and the HMD in long-Term use. In this paper, we propose a real-Time latent active correction (LAC) algorithm to decrease hand-eye calibration errors accumulated over time. Experimental results show that we can successfully use the LAC algorithm to physics-inspired virtual input methods.

KW - Human-centered computing-Human computer interaction (HCI)-Interaction paradigms-Graphical user interfaces

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BT - 25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings

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PB - Institute of Electrical and Electronics Engineers Inc.

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Zhang Z, Li Y, Weng D, Liu V, Wang Y. Physics-Inspired Input Method for Near-Field Mixed Reality Applications Using Latent Active Correction. In Steinicke F, Thomas B, Kiyokawa K, Welch G, editors, 25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 737-738. 8446291. (25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings). doi: 10.1109/VR.2018.8446291

Physics-Inspired Input Method for Near-Field Mixed Reality Applications Using Latent Active Correction

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