The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Sign Language Recognition Systems: A Decade Systematic Literature Review
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Citations
Cites
Ethnologue. Languages of the World
(2014) · African Studies Companion Online · doi:10.1163/_afco_asc_441 · Cited by 2,162
Deep learning in vision-based static hand gesture recognition
Oyedotun, O. K., & Khashman, A. (2017) · Neural Computing and Applications · doi:10.1007/s00521-016-2294-8 · Cited by 369
Vision Based Hand Gesture Recognition
Garg, P., Aggarwal, N., & Sofat, S. (2009) · doi:10.5281/zenodo.1074854 · Cited by 275
How Many People Use ASL in the United States? Why Estimates Need Updating
Mitchell, R. E., Young, T. A., Bachleda, B., & Karchmer, M. A. (2006) · Sign Language Studies · doi:10.1353/sls.2006.0019 · Cited by 265
American Sign Language Recognition Using Leap Motion Sensor
Chuan, C.-H., Regina, E., & Guardino, C. (2014) · 2014 13th International Conference on Machine Learning and Applications · doi:10.1109/icmla.2014.110 · Cited by 223
Coupled HMM-based multi-sensor data fusion for sign language recognition
Kumar, P., Gauba, H., Roy, P. P., & Dogra, D. P. (2017) · Pattern Recognition Letters · doi:10.1016/j.patrec.2016.12.004 · Cited by 206
Self-citationA multimodal framework for sensor based sign language recognition
Kumar, P., Gauba, H., Pratim Roy, P., & Prosad Dogra, D. (2017) · Neurocomputing · doi:10.1016/j.neucom.2016.08.132 · Cited by 196
Self-citationAmerican Sign Language word recognition with a sensory glove using artificial neural networks
Oz, C., & Leu, M. C. (2011) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2011.06.015 · Cited by 183
Glove-Based Continuous Arabic Sign Language Recognition in User-Dependent Mode
Tubaiz, N., Shanableh, T., & Assaleh, K. T. (2015) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2015.2406692 · Cited by 175
Arabic sign language recognition using the leap motion controller
Mohandes, M., Aliyu, S., & Deriche, M. (2014) · 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE) · doi:10.1109/isie.2014.6864742 · Cited by 170
Cited by
Lamaakal, I., Ouahbi, I., El Makkaoui, K., Maleh, Y., Pławiak, P., & Alblehai, F. (2024) · IEEE Access · doi:10.1109/access.2024.3406631 · Cited by 34
Metadata
- Authors
- Wadhawan, A., & Kumar, P.
- Venue
- Archives of Computational Methods in Engineering
- Published
- 2019-12-17
- Volume
- 28
- Issue
- 3
- Pages
- 785-813
- ISSN
- 1134-3060 (ISSN-L)
- 1886-1784
- OpenAlex
- W2995336103
- Cited by
- 284
- References
- 61
- FWCI
- 1.95
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wadhawan, A., & Kumar, P. (2021). Sign Language Recognition Systems: A Decade Systematic Literature Review. Archives of Computational Methods in Engineering. https://doi.org/10.1007/s11831-019-09384-2
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.
