Implementation of escape room system based on augmented reality involving deep convolutional neural network
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Education researchers are starting to investigate the integration of EEAs and AR technology and its influence on learning outcomes.
“education researchers are starting to investigate this integration and its influence on learning outcomes. 32 -35”
From Fostering Motivation toward Chemistry through Augmented Reality Educational Escape Activities. A Self-Determination Theory Approach (2022) · cites this paper as [35]
Cites
Deep Residual Learning for Image Recognition
He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.90 · Cited by 235,474 · see citing works
ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Elford, D., Lancaster, S. J., & Jones, G. A. (2022) · Journal of Chemical Education · doi:10.1021/acs.jchemed.2c00428 · Cited by 49 · see citing works
- Authors
- Zeng, H., He, X., & Pan, H.
- Affiliations
- Chongqing University (CN)
- Corresponding author
- He, Xingxi
- Venue
- Virtual Reality
- Published
- 2020-10-11
- Volume
- 25
- Issue
- 3
- Pages
- 585-596
- ISSN
- 1359-4338 (ISSN-L)
- 1434-9957
- OpenAlex
- W3092926781
- Cited by
- 19
- References
- 2
- Citations by year
- 2025: 6 · 2024: 5 · 2023: 2 · 2022: 4 · 2021: 2
- FWCI
- 0.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Virtual Reality (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Physical Sciences › Computer Science › Information Systems › Multimedia Learning Systems
- Keywords
- escape rooms, augmented reality, deep convolutional neural networks, image classification, Microsoft HoloLens, smart glasses, Raspberry Pi, client-server architecture, Vuforia, immersion
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review