Engineering and Technologynpj Flexible Electronics
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!
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