In this work, a renewable, low-cost, biodegradable and AI enabled textile sensing system is developed. This sensing system uses cotton with tunable-conductivity as electrode/sensitive layer to realize an all-textile design and combines deep learning-based data analysis in real time.

Technology Overview
A biodegradable artificial intelligence enabled all-textile sensing system is developed. Configurated with Lego-like structures, intelligence applications are demonstrated. With the assistance of deep learning algorithms, a textile-based authentication system is designed. The whole sensor can be fully degraded in the cellulase solution.

Applications & Benefits
In conclusion, an AI enabled all-textile sensing system has been fabricated by utilizing natural conductive cotton as the electrode/sensitive layer and combining deep learning-based data analysis in real time. The all-textile design removes non-biodegradable components such as metals and polymer films, making a noteworthy contribution to green electronics. Such a design fully demonstrates the outstanding advantages of smart textiles in renewable and eco-friendly electronics, with potential applications in the Internet of Things and AI.

Abstract：
Artificial intelligence (AI) enabled electronic textiles inherit the advantages of traditional textiles, such as softness, flexibility, and wearable convenience, and demonstrate significant potential for wearable applications. However, the existence of metallic electrodes and polymer thin films sensitive/encapsulating layers in current textile- or fiber-based pressure sensors significantly reduces the unique advantages of textiles, particularly in terms of renewability and biodegradability. Here, an all-textile biodegradable AI enabled pressure sensor is demonstrated using tunable conductivity cotton as the electrode/sensitive layer, incorporating real-time deep learning-based data analysis. The metal electrode and polymer thin film widely adopted in smart textile-based pressure sensors are avoided, and the all-textile components allow the sensors to be freely cut and reassembled like Lego. Based on these Lego-like smart textiles, intelligence applications such as real-time health monitoring, game control, gait analysis, and authentication systems are demonstrated. After completing the functions, the whole device can be rapidly degraded in the cellulase solution and broken down into reducing sugars, thus effectively reducing the environmental pollution. This work provides a new strategy for creating renewable and sustainable textile pressure sensors with significant application potential in next-generation smart green electronics.

Artificial intelligence enabled biodegradable all-textile sensor for smart monitoring and recognition
Author：Pengfei Zhao, Yilin Song, Zhipeng Hu, Zihan Zhong, Yi Li, Kui Zhou, Tingting Qin, Yan Yan, Hsiao-Hsuan Hsu, Su-Ting Han, Vellaisamy A.L. Roy, Chi-Ching Kuo, Ye Zhou
Year：2024
Source publication：Nano Energy, Volume 130, November 2024
Subfield Highest percentage：99%  Electrical and Electronic Engineering  #8 / 970

https://www.sciencedirect.com/science/article/pii/S2211285524008681