Tessutivo: Contextual Interactions on Interactive Fabrics with Inductive Sensing
Tessutivo: Contextual Interactions on Interactive Fabrics with Inductive Sensing
复制标题
Tessutivo：具有感应传感的交互式织物上的上下文交互
DOI：
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Xing
中科院分区：
文献类型：
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作者：
Jun Gong;Yu Wu;Lei Yan;T. Seyed;Xing
我们提出了Tessutivo，一种基于接触的感应感知技术，用于交互织物上的上下文交互。我们的技术识别家庭和工作场所中常见的导电物体(主要是金属)，如钥匙、硬币和电子设备。我们制作了一个原型，其中包含六乘六的螺旋形线圈，这些线圈由导电线制成，缝制在一个四层的织物结构上。基于一种新的电感近似公式，我们精心设计了线圈形状参数以最大化灵敏度。通过一个十人参与的研究，我们评估了我们提出的传感技术在27个常见对象上的性能。目标识别的实时准确率达到93.9%。最后，我们将展示几个应用程序，以演示我们的技术实现的独特交互。
We present Tessutivo, a contact-based inductive sensing technique for contextual interactions on interactive fabrics. Our technique recognizes conductive objects (mainly metallic) that are commonly found in households and workplaces, such as keys, coins, and electronic devices. We built a prototype containing six by six spiral-shaped coils made of conductive thread, sewn onto a four-layer fabric structure. We carefully designed the coil shape parameters to maximize the sensitivity based on a new inductance approximation formula. Through a ten-participant study, we evaluated the performance of our proposed sensing technique across 27 common objects. We yielded 93.9% real-time accuracy for object recognition. We conclude by presenting several applications to demonstrate the unique interactions enabled by our technique.
Indutivo：基于接触、对象驱动的感应式交互
DOI：
10.1145/3242587.3242662
发表时间：
2018
期刊：
Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology
影响因子：
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作者：
Gong, Jun;Yang, Xin;Seyed, Teddy;Davis, Josh Urban;Yang, Xing-Dong
通讯作者：
Yang, Xing-Dong