RD-Hand: a real-time regression-based detector for dynamic hand gesture
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-02380-9.pdf
Reference31 articles.
1. Zhou Y, Jiang G, Lin Y (2016) A novel finger and hand pose estimation technique for real-time hand gesture recognition. Pattern Recogn 49:102–114
2. Stergiopoulou E, Papamarkos N (2009) Hand gesture recognition using a neural network shape fitting technique. Eng Appl Artif Intell 22(8):1141–1158
3. Mirehi N, Tahmasbi M, Targhi AT (2019) Hand gesture recognition using topological features. Multimed Tools Appl 78(10):1–26
4. De Smedt Q, Wannous H, Vandeborre J (2019) Heterogeneous hand gesture recognition using 3D dynamic skeletal data. Comput Vis Image Underst 181:60–72
5. Beh J, Han D, Ko H (2014) Rule-based trajectory segmentation for modeling hand motion trajectory. Pattern Recogn 47(4):1586–1601
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