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However, prolonged exposure to high humidity inside masks can cause discomfort and increase the risk of respiratory diseases. To address the issue, in this work, a porous polymer humidity sensor suitable for monitoring respiratory changes in high humidity environment is prepared and integrated into the power air\u2010purifying mask. Combined with the transfer learning algorithm, the problem with respiratory resistance caused by delayed air supply due to signal processing in the traditional power air\u2010purifying mask is overcome, and the respiratory signal is effectively predicted in advance, so as to achieve real\u2010time on\u2010demand air supply. The brief process is as follows: A porous polymer humidity sensor with fast response\/recovery times (2.94\/4.86\u2009s) at 95% relative humidity (RH) is developed for monitoring respiratory rate changes in high humidity environments. 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