Fabriccio: Touchless Gestural Input on Interactive Fabrics

Fabriccio: Touchless Gestural Input on Interactive Fabrics
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DOI:
10.1145/3313831.3376681
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发表时间:
2020-04
期刊:
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
影响因子:
--
通讯作者:
Te-Yen Wu;Shutong Qi;Junchi Chen;MuJie Shang;Jun Gong;T. Seyed;Xing-Dong Yang
Te-Yen Wu;Shutong Qi;Junchi Chen;MuJie Shang;Jun Gong;T. Seyed;Xing-Dong Yang
中科院分区:
其他
文献类型:
--
作者:
Te-Yen Wu;Shutong Qi;Junchi Chen;MuJie Shang;Jun Gong;T. Seyed;Xing-Dong Yang

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我们提出Fabriccio,一种非接触式手势传感技术,用于使用多普勒运动传感的交互式织物。我们的原型是使用一对环形天线(一个用于发送,另一个用于接收)开发的,由缝在织物基底上的导电线制成。天线类型,配置,传输线和工作频率都经过精心选择,以平衡制造过程的复杂性和我们的系统对非触摸手势的灵敏度,在10厘米的距离进行。通过一项十名参与者的研究,我们评估了我们提出的传感技术在11个非触摸手势以及1个触摸手势上的性能。研究结果产生了92.8%的交叉验证准确率和85.2%的留一会话准确率。最后,我们提出了几个应用程序来展示我们的技术软物体上启用的独特的相互作用。
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.