Fabriccio: Touchless Gestural Input on Interactive Fabrics

要旨

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.

キーワード
Doppler Effect
Interactive Fabrics
Touchless Gesture
著者
Te-Yen Wu
Dartmouth College, Hanover, NH, USA
Shutong Qi
Dartmouth College & Beihang University, Hanover, NH, USA
Junchi Chen
Dartmouth College & Shanghai Jiao Tong University, Hanover, NH, USA
MuJie Shang
Dartmouth College & WuHan University, Hanover, NH, USA
Jun Gong
Dartmouth College, Hanover, NH, USA
Teddy Seyed
Microsoft Research, Redmond, WA, USA
Xing-Dong Yang
Dartmouth College, Hanover, NH, USA
DOI

10.1145/3313831.3376681

論文URL

https://doi.org/10.1145/3313831.3376681

動画

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Wear is my input

Paper session
311 KAUA'I
5 件の発表
2020-04-28 20:00:00
2020-04-28 21:15:00
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