Enhancing 3D hand pose estimation using SHaF: synthetic hand dataset including a forearm
Author:
Funder
Institute for Information and Communications Technology Planning & Evaluation
Ministry of Science and ICT, South Korea
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05665-x.pdf
Reference54 articles.
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3. Chatzis T, Stergioulas A, Konstantinidis D et al (2020) A comprehensive study on deep learning-based 3d hand pose estimation methods. Appl Sci 10(19):685. https://doi.org/10.3390/app10196850
4. Sharma S, Singh S (2021) Vision-based hand gesture recognition using deep learning for the interpretation of sign language. Expert Syst Appl 182:11565. https://doi.org/10.1016/j.eswa.2021.115657
5. Isaacs J, Foo S (2004) Hand pose estimation for american sign language recognition. In: Thirty-sixth southeastern symposium on system theory, 2004. Proceedings of the, IEEE, pp 132–136
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