Fabriccio: Touchless Gestural Input on Interactive Fabrics
手势
计算机科学
运动捕捉
线程(计算)
手势识别
人工智能
计算机视觉
运动(物理)
操作系统
作者
Te-Yen Wu,Shengjun Qi,Junchi Chen,MuJie Shang,Jun Gong,Teddy Seyed,Xing-Dong Yang
标识
DOI:10.1145/3313831.3376681
摘要
We present Fabriccio, a touchless gesture sensing technique developed for interactive fabrics using Doppler motion sensing. Our prototype was developed using a pair of loop antennas (one for transmitting and the other for receiving), made of conductive thread that was sewn onto a fabric substrate. The antenna type, configuration, transmission lines, and operating frequency were carefully chosen to balance the complexity of the fabrication process and the sensitivity of our system for touchless hand gestures, performed at a 10 cm distance. Through a ten-participant study, we evaluated the performance of our proposed sensing technique across 11 touchless gestures as well as 1 touch gesture. The study result yielded a 92.8% cross-validation accuracy and 85.2% leave-one-session-out accuracy. We conclude by presenting several applications to demonstrate the unique interactions enabled by our technique on soft objects.