The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.
A review of hand gesture and sign language recognition techniques
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Citations
Cites
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
SURF: Speeded Up Robust Features
Bay, H., Tuytelaars, T., & Van Gool, L. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744023_32 · Cited by 14,955 · cited 2×
“For instance, SURF is much computational efficient as compared with SIFT [7].”
BackgroundMethodA survey of advances in vision-based human motion capture and analysis
Moeslund, T. B., Hilton, A., & Krüger, V. (2006) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2006.08.002 · Cited by 2,541
Mitra, S., & Acharya, T. (2007) · IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/tsmcc.2007.893280 · Cited by 1,981
The Visual Analysis of Human Movement: A Survey
Gavrila, D. M. (1999) · Computer Vision and Image Understanding · doi:10.1006/cviu.1998.0716 · Cited by 1,782
A Survey of Computer Vision-Based Human Motion Capture
Moeslund, T. B., & Granum, E. (2001) · Computer Vision and Image Understanding · doi:10.1006/cviu.2000.0897 · Cited by 1,768
Statistical Color Models with Application to Skin Detection
Jones, M. J., & Rehg, J. M. (2002) · International Journal of Computer Vision · doi:10.1023/a:1013200319198 · Cited by 1,542
Vision based hand gesture recognition for human computer interaction: a survey
Rautaray, S. S., & Agrawal, A. (2015) · Artificial Intelligence Review · doi:10.1007/s10462-012-9356-9 · Cited by 1,526
Real-time American sign language recognition using desk and wearable computer based video
Starner, T., Weaver, J., & Pentland, A. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.735811 · Cited by 1,335
Factorial Hidden Markov Models
Ghahramani, Z., & Jordan, M. I. (1997) · Machine Learning · doi:10.1023/a:1007425814087 · Cited by 1,157
Cited by
A survey on artificial intelligence in Chinese sign language recognition
Jiang, X., Satapathy, S. C., Yang, L., Wang, S.-H., & Zhang, Y.-D. (2020) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-020-04758-2 · Cited by 71
SignQuiz: A Quiz Based Tool for Learning Fingerspelled Signs in Indian Sign Language Using ASLR
Joy, J., Balakrishnan, K., & Sreeraj, M. (2019) · IEEE Access · doi:10.1109/access.2019.2901863 · Cited by 69
EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks
Neacşu, A., Pesquet, J.-C., & Burileanu, C. (2024) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3635159 · Cited by 15
Metadata
- Authors
- Cheok, M. J., Omar, Z., & Jaward, M. H.
- Venue
- International Journal of Machine Learning and Cybernetics
- Published
- 2017-08-08
- Volume
- 10
- Issue
- 1
- Pages
- 131-153
- ISSN
- 1868-8071 (ISSN-L)
- 1868-808X
- OpenAlex
- W2743239999
- Cited by
- 600
- References
- 97
- FWCI
- 38.18
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Cheok, M. J., Omar, Z., & Jaward, M. H. (2019). A review of hand gesture and sign language recognition techniques. International Journal of Machine Learning and Cybernetics. https://doi.org/10.1007/s13042-017-0705-5
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
