Enhanced hand-gesture recognition by improved beetle swarm optimized probabilistic neural network for human–computer interaction
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-022-03753-9.pdf
Reference52 articles.
1. Aglave P, Kolkure VS (2015) Implementation of high-performance feature extraction method using oriented fast and rotated brief algorithm. IJRET Int J Res Eng Technol 04(02):394–397
2. Ameur S, Khalifa AB, Bouhlel MS (2020) A novel hybrid bidirectional unidirectional LSTM network for dynamic hand gesture recognition with leap motion. Entertain Comput 35:100373
3. Bao P, Maqueda AI, del-Blanco CR, García N (2017) Tiny hand gesture recognition without localization via a deep convolutional network. IEEE Trans Consum Electron 63(3):251–257
4. Bonyadi MR, Michalewicz Z (2016) Analysis of stability, local convergence, and transformation sensitivity of a variant of the particle swarm optimization algorithm. IEEE Trans Evol Comput 20(3):370–385
5. Chang X, Nie F, Wang S, Yang Y, Zhou X, Zhang C (2016) Compound rank-k projections for bilinear analysis. IEEE Trans Neural Netw Learn Syst 27(7):1502–1513
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