| 초록 |
Wearable devices with mechanical sensors which can recognize the human motion and gesture have attracted a lot of interests in human motion monitoring, bio-medical and virtual reality (VR) field. Because of the stability against human movements, high flexibility and stretchability is required to wearable devices. Therefore, it is very necessary to develop soft and robust mechanical sensor with multiple detecting in order to realize the human motion monitoring. Many previous researches have studied 2-D film structured mechanical sensors, however, there is a limit to stability that are fragile to external deformation forces and strains. To overcome this problem, various concepts of wearable devices using conductive materials such as CNT, Ag nanoparticles, Ag nanowires, have been introduced. Despite the potential and high performance of these previous sensors, multiple mechanical sensors still have difficulty in distinguishing different motions of the human. In this research, conductive hierarchical fiber-based multi-modal mechanical sensors with high sensitivity performance were fabricated for selectively distinguish the human motion. The sensors recognize human motions as three types of mechanical stimuli (Pressure, Strain, Bending), and analyze each measured signal. Thus, the practical human motion could be detected with the sensors and the sensors can be easily applying on wearable devices. The conductive fibers were fabricated by casting hierarchical microhairy structures with carbon black (CB)-Ag nanowires (AgNWs) composite on the surface of a flexible polyurethane (PU) fiber containing silver nanoparticles (AgNPs) inside. Two strands of conductive fibers were twisted to measure two different types of resistance between them, and the sensors analysis measured different resistance to determine the real human motion. With this respect, our sensors have high applicability in the fields of bio-medical devices, robot industry and game controller devices. |
