Pearl: Physical Environment based Augmented Reality Lenses for In-Situ Human Movement Analysis-Reference-Cited by-同舟云学术

Pearl: Physical Environment based Augmented Reality Lenses for In-Situ Human Movement Analysis

Published:2023-04-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
language:
Short-container-title:

Author:

Luo Weizhou¹^ORCID,Yu Zhongyuan²^ORCID,Rzayev Rufat¹^ORCID,Satkowski Marc¹^ORCID,Gumhold Stefan³^ORCID,McGinity Matthew²^ORCID,Dachselt Raimund⁴^ORCID

Affiliation:

1. Interactive Media Lab Dresden, Technische Universität Dresden, Germany

2. Immersive Experience Lab, Technische Universität Dresden, Germany

3. Chair of Computer Graphics and Visualization, Technische Universität Dresden, Germany and Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Germany

4. Interactive Media Lab Dresden, Technische Universität Dresden, Germany and Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Germany

Funder

Deutsche Forschungsgemeinschaft

German Federal Ministry of Education and Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3544548.3580715

Reference85 articles.

1. Shivam Agarwal Jonas Auda Stefan Schneegaß and Fabian Beck. 2020. A Design and Application Space for Visualizing User Sessions of Virtual and Mixed Reality Environments. (2020). https://doi.org/10.2312/vmv.20201194 10.2312/vmv.20201194

2. Shivam Agarwal Jonas Auda Stefan Schneegaß and Fabian Beck. 2020. A Design and Application Space for Visualizing User Sessions of Virtual and Mixed Reality Environments. (2020). https://doi.org/10.2312/vmv.20201194

3. The Hide and Seek of Workspace

4. A conceptual framework and taxonomy of techniques for analyzing movement

5. Gennady Andrienko , Natalia Andrienko , Peter Bak , Daniel Keim , and Stefan Wrobel . 2013. Visual analytics of movement . Springer Science & Business Media . https://doi.org/10.1007/978-3-642-37583-5 10.1007/978-3-642-37583-5 Gennady Andrienko, Natalia Andrienko, Peter Bak, Daniel Keim, and Stefan Wrobel. 2013. Visual analytics of movement. Springer Science & Business Media. https://doi.org/10.1007/978-3-642-37583-5

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