Flexible Textile Wearable System Based On Triboelectric Nanogenerator

With the rapid development of the fifth-generation Internet of Things(Io T),flexible wearable electronic products have more extensive applications in the fields of medical monitoring,health management,motion detection,and human-computer interaction.But there are many restrictions affect the sustainable application of wearable electronic devices in our real life.The traditional mobile power supply is too large,heavy,which is limited in capacity and life.The human body produces abundant mechanical energy when it moves,but in most cases,it is lost to the air in the form of heat energy.As a low-cost and sustainable electrical energy conversion device,the triboelectric nanogenerator can efficiently convert low-frequency mechanical energy into electrical energy through tiny vibrations,and can sensitively feel the changes in external mechanical stress according to the difference of electrical signals.Traditional flexible electronic devices are just assembled into the shape of fabric,which are lack of air permeability and comfortability.The flexible wearable electronic devices are prepared based on two different structures of 2D planar fabrics and 1D fibers in our research,and realize the multifunctional application of energy collection and signal sensing.(1)This paper combines two-dimensional flat fabrics by modifying them into a self-driven smart keyboard system with biometric capabilities.The system has excellent energy harvesting capability and can light up over38 light emitting diodes that can continuously charge a commercial capacitor or power a commercial digital watch.In addition,it can be used to identify administrators and defend against intrusion by recognizing differences in electrical signals from different users.(2)We have designed and prepared a stretchable fiber with a porous structure,and explored its multifunctional application as a self-powered wearable electronic device.We have also combined it with gloves to obtain a self-powered smart glove with sign language recognition and training.Based on the machine learning,it is used to classify and recognize different sign languages,which not only achieves a recognition accuracy of 98.1%,but also realizes a self-feedback sign language training system.By modifying two different flexible textile materials,this thesis obtains multifunctional smart textiles with high performance,high sensitivity,and high durability,which have broad application prospects in new energy,human-computer interaction,healthcare,and safety guarantee.