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Decoding lip language using triboelectric sensors with deep learning

Engineering and Technology

Decoding lip language using triboelectric sensors with deep learning

Y. Lu, H. Tian, et al.

Discover an innovative lip-language decoding system developed by Yijia Lu, Han Tian, Jia Cheng, Fei Zhu, Bin Liu, Shanshan Wei, Linhong Ji, and Zhong Lin Wang. Utilizing self-powered triboelectric sensors and a cutting-edge dilated recurrent neural network model, this research achieves an impressive 94.5% accuracy, facilitating barrier-free communication for the voiceless.

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