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All-weather, natural silent speech recognition via machine-learning-assisted tattoo-like electronics

Engineering and Technology

All-weather, natural silent speech recognition via machine-learning-assisted tattoo-like electronics

Y. Wang, T. Tang, et al.

Explore the groundbreaking silent speech recognition system developed by Youhua Wang, Tianyi Tang, Yin Xu, Yunzhao Bai, Lang Yin, Guang Li, Hongmiao Zhang, Huicong Liu, and YongAn Huang. Using innovative tattoo-like electrodes for signal capture and advanced machine learning for recognition, this system achieves an impressive 92.64% accuracy in real-world settings, even amidst noise and darkness. Join the future of communication today!... show more
Citation Metrics
Citations
96
Influential Citations
6
Reference Count
57
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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