Fusion of kinematic and physiological sensors for hand gesture recognition
Author:
Funder
Department of Education of Guangdong Province
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18283-z.pdf
Reference53 articles.
1. Jia L, Zhou X, Xue C (2022) Non-trajectory-based gesture recognition in human-computer interaction based on hand skeleton data. Multimed Tools Appl 81(15):20509–20539
2. Gadekallu TR, Srivastava G, Liyanage M, Iyapparaja M, Chowdhary CL, Koppu S, Maddikunta PR (2022) Hand gesture recognition based on a Harris hawks optimized convolution neural network. Computers Electrical Engin 100:107836
3. Bhushan S, Alshehri M, Keshta I, Chakraverti AK, Rajpurohit J, Abugabah A (2022) An experimental analysis of various machine learning algorithms for hand gesture recognition. Electronics 11(6):968
4. Zhang Z, Tian Z, Zhou M (2018) Latern: Dynamic continuous hand gesture recognition using FMCW radar sensor. IEEE Sensors J 18(8):3278–3289
5. Qi J, Jiang G, Li G, Sun Y, Tao B (2019) Intelligent human-computer interaction based on surface EMG gesture recognition. IEEE Access 7:61378–61387
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