학회 | 한국재료학회 |
학술대회 | 2018년 가을 (11/07 ~ 11/09, 여수 디오션리조트) |
권호 | 24권 2호 |
발표분야 | E. 환경/센서 재료 분과 |
제목 | Multi-modal Mechanical Sensor for Wearable Electronics using Conductive Fibers |
초록 | Recently, a lot of interests in flexible and stretchable sensors have attracted with development of wearable devices and electronics. Flexible pressure sensors and stretchable strain sensors are especially developed with extensively studies due to its potential in various applications. In real applications, various kind of mechanical stimuli such as pressure, strain, bending is able to be applied to the sensors, nevertheless, it has been very difficult for existing sensors selectively distinguished such mechanical stimuli with one measured output result signal. Thus, it is very necessary to develop the existing sensors, so the advanced sensors can selectively distinguish various mechanical stimuli for wearable electronics. Herein, we produced some conductive fibers and developed a conductive fiber based multi-modal mechanical sensor. The multi-modal sensor is manufactured by twisting two strands of conductive fibers. From the multi-modal sensor, we could obtain two different type of resistance output signals, the single resistance and mutual resistance. The single resistance and mutual resistance of the multi-modal sensor show different responses depending on mechanical stimuli such as pressure, strain and bending. Therefore, it is possible to selectively distinguish various mechanical stimuli using a multi-modal sensor with two resistance output signals. In addition, the multi-modal sensor is composed with polymers and fibers, thus, the sensor is able to be easily applied to clothes, gloves even shoes using a simple sewing method. Eventually, the conductive fiber based multi-modal mechanical sensor is demonstrated to monitor human posture and gesture recognition by being integrated into clothes. |
저자 | 윤국로, 이재홍, 이상근, 이태윤 |
소속 | 연세대 |
키워드 | <P>Sensor; pressure sensor; strain sensor; fiber sensor; mechanical sensor</P> |