All‐Organic Smart Textile Sensor for Deep‐Learning‐Assisted Multimodal Sensing

• Published in: Advanced functional materials Vol. 33; no. 30
• Main Authors: Zhao, Pengfei, Song, Yilin, Xie, Peng, Zhang, Fan, Xie, Tao, Liu, Gang, Zhao, Jiyu, Han, Su‐Ting, Zhou, Ye
• Format: Journal Article
• Language: English
• Published: Hoboken Wiley Subscription Services, Inc 01.07.2023
• Subjects: Biocompatibility; Deep learning; electronic textiles; Learning; Materials science; multimodal sensors; proximity sensing; Sensors; Smart materials; Textiles; wearable electronics
• ISSN: 1616-301X; 1616-3028
• DOI: 10.1002/adfm.202301816

Smart textile for sensor is identified as a superior platform with greatly improved convenience and comfort for wearable bioelectronics. However, most reported textile‐based sensors cannot fully demonstrate the inherent advantages of textiles, such as comfortability, breathability, biocompatibility, and environmental friendliness, mainly due to the intrinsic limitation of non‐textile or inorganic components. Here, an all‐textile, all‐organic, washable, and breathable sensor with discriminable pressure, proximity, and temperature sensing function is first reported. Multiple sensing functions and outstanding washability are demonstrated. The all‐textile sensor can also be seamlessly integrated into diverse types of fabrics to realize wide‐range sensing of human activities and noncontact stimuli without sacrificing biocompatibility and comfortability. Additionally, by combining with the deep‐learning technique, an all‐textile sensing system is established to recognize object shape, contactless trajectory, and even environmental temperature. These results open a new avenue for designing low‐cost, washable, comfortable, and biocompatible green textile electronics, providing a meaningful guideline in intelligent textiles. An all‐organic textile sensor capable of discriminately sensing pressure, proximity, and temperature stimuli is developed. Outstanding washability and breathability are demonstrated. By combining with the deep‐learning technique, an all‐textile sensing system is established to recognize object shape, contactless trajectory, and even environmental temperature, showing a promising identification ability for complex information.