Deep learning-enhanced pressure sensors integrate signal processing and sensing capabilities,offering transformative potential in wearable electronics.However,current deep learning-based pressure sensors primarily use...Deep learning-enhanced pressure sensors integrate signal processing and sensing capabilities,offering transformative potential in wearable electronics.However,current deep learning-based pressure sensors primarily use petroleum-based polymers for the sensing/encapsulating layers and metallic electrodes.This results in limited biodegradability,poor biocompatibility,and insufficient breathability.Here,we present an all-textile-based pressure sensor that combines tunable-conductivity polypyrrole textiles for the electrode and sensing layers with real-time artificial intelligence algorithms.Eliminating the constraints of metallic electrodes and petroleum-based polymers results in an entire device that exhibits excellent biocompatibility,biodegradability,and breathability.Moreover,the textile sensing layer’s structure ensures pressure-induced conductivity,contributing to high sensitivity and a wide detection range.Based on these high-performance and comfortable textiles,we demonstrate intelligent applications such as health monitoring,software/hardware control,and complex human motion analysis.Our work paves the way for sustainable,breathable,and biocompatible next-generation smart textiles,enabling the development of intelligent and eco-conscious electronic systems.展开更多
基金supported by the Natural Science Research Start-up Foundation of Recruiting Talents of Nanjing University of Posts and Telecommunications(NY225043)the National Natural Science Foundation of China(62304137,62504121)+7 种基金the Guangdong Basic and Applied Basic Research Foundation(2023A1515012479,2024A1515011737,2024B1515040002,and 2025A1515011274)the Science and Technology Innovation Commission of Shenzhen(JCYJ20220818100206013)the RSC Sustainable Laboratories Grant(L24-8215098370)the State Key Laboratory of Radio Frequency Heterogeneous Integration(Independent Scientific Research Program No.2024010)the Hong Kong Research Grants Council,Young Collaborative Research Grant(C5001-24)the Research Institute for Smart Energy(U-CDC9)the NTUT-SZU Joint Research Program(NTUT-SZU-114-01)the National Undergraduate Training Program for Innovation and Entrepreneurship&Student Research Training Program(202510590013,202510590015)。
文摘Deep learning-enhanced pressure sensors integrate signal processing and sensing capabilities,offering transformative potential in wearable electronics.However,current deep learning-based pressure sensors primarily use petroleum-based polymers for the sensing/encapsulating layers and metallic electrodes.This results in limited biodegradability,poor biocompatibility,and insufficient breathability.Here,we present an all-textile-based pressure sensor that combines tunable-conductivity polypyrrole textiles for the electrode and sensing layers with real-time artificial intelligence algorithms.Eliminating the constraints of metallic electrodes and petroleum-based polymers results in an entire device that exhibits excellent biocompatibility,biodegradability,and breathability.Moreover,the textile sensing layer’s structure ensures pressure-induced conductivity,contributing to high sensitivity and a wide detection range.Based on these high-performance and comfortable textiles,we demonstrate intelligent applications such as health monitoring,software/hardware control,and complex human motion analysis.Our work paves the way for sustainable,breathable,and biocompatible next-generation smart textiles,enabling the development of intelligent and eco-conscious electronic systems.
