Ionogel based triboelectric nanogenerator textiles for high-precision human fall recognition

Currently, wearable sensors have been widely used for human behavior monitoring. Among them, triboelectric nanogenerator (TENG) textile has the functions of power generation and active sensing, showing great advantages in energy collection and signal transmission. However, the TENG textiles face problems such as limited recognition accuracy, insufficient flexibility, missed fashion sense, and complex manufacturing processes. To address the above issues, a core–shell structure integrated conductive fiber (C-fiber) based on ionogel and a hollow silicone tube are displayed. Owing to the fact that the C-fiber can be synthesized through a simple one-step UV curing process, it has the potential for large-scale production. Due to the dyeability of ionogel and the transparency of hollow tube, the C-fiber has the ability to obtain personalized colors. This fiber can be further woven into a flexible fabric sensor (W-TENG) for high-precision human behavior monitoring. Noteworthiness, the W-TENG still has flexibility and output signal in environments ranging from −18 to 200 °C,the strong wide temperature adaptability stem from the heat and frost resistance of the materials. By assembling W-TENG onto the human body, daily movements, fall types, and post fall states can be perceived. Furthermore, complex motion data is trained by support vector machine (SVM), and the recognition accuracy for different fall categories can reach 100%. In practical applications, TENG could be equipped with custom bluetooth modules to monitor falls in real-time during walking, and provide timely treatment for the injured.