Research on Intelligent Human-Machine Interaction System Design and Data Visualization Based on Multimodal Data Fusion
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-69457-8_63
Reference10 articles.
1. Li, J.: Intelligent and informational English learning system based on human-computer interaction. In: International Conference on Multi-modal Information Analytics, pp. 488–496. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-05237-8_60
2. Gan, S., Zhuang, Q., Gong, B.: Human-computer interaction based interface design of intelligent health detection using PCANet and multi-sensor information fusion. Comput. Methods Prog. Biomed. 216, 106637 (2022)
3. Yang, J., Liu, Y., Morgan, P.L.: Sensor and data: key elements of human-machine interaction for human-centric smart manufacturing. Procedia Comput. Sci. 232, 191–200 (2024)
4. Sashittal, P., Chiodi, R., Morgan, T.B., et al.: Modal analysis and interface tracking of multiphase flows using dynamic mode decomposition. Int. J. Multiphase Flow 157, 104198 (2022)
5. Kennedy, R.E., Jewell, J.S., Paredes, P., et al.: Characterization of instability mechanisms on sharp and blunt slender cones at Mach 6. J. Fluid Mech. 936, A39 (2022)
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