A new weighted multi-scale descriptor for hand gesture recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17319-0.pdf
Reference38 articles.
1. Liu AA, Nie WZ et al (2015) Coupled hidden conditional random fields for RGB-D human action recognition. Sig Process 112:74–82. https://doi.org/10.1016/j.sigpro.2014.08.038
2. Chevtchenko SF, Vale RF et al (2018) A convolutional neural network with feature fusion for real-time hand posture recognition. Appl Soft Comput 73:748–766. https://doi.org/10.1016/j.asoc.2018.09.010
3. Memo A, Zanuttigh P (2018) Head-mounted gesture controlled interface for human-computer interaction. Multimed Tools Appl 77:27–53
4. Liu Y, Jiang J et al (2021) Hand pose estimation from RGB images based on deep learning: a survey. IEEE 7th International Conference on Virtual Reality (ICVR)
5. Dardas NH, Georganas ND (2011) Real-time hand gesture detection and recognition using bag-of-features and support vector machine techniques. IEEE Trans Instrum Meas 60(11):3592–3607
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