@inproceedings{wu2020capacitivo,
author = {Wu, Te-Yen and Tan, Lu and Zhang, Yuji and Seyed, Teddy and Yang, Xing-Dong},
title = {Capacitivo: Contact-Based Object Recognition on Interactive Fabrics using Capacitive Sensing},
organization = {ACM},
booktitle = {Proceedings of the 33rd Annual Symposium on User Interface Software and Technology (UIST '20)},
year = {2020},
month = {October},
abstract = {We present Capacitivo, a contact-based object recognition technique developed for interactive fabrics, using capacitive sensing. Unlike prior work that has focused on metallic objects, our technique recognizes non-metallic objects such as food, different types of fruits, liquids, and other types of objects that are often found around a home or in a workplace. To demonstrate our technique, we created a prototype composed of a 12 x 12 grid of electrodes, made from conductive fabric attached to a textile substrate. We designed the size and separation between the electrodes to maximize the sensing area and sensitivity. We then used a 10-person study to evaluate the performance of our sensing technique using 20 different objects, which yielded a 94.5% accuracy rate. We conclude this work by presenting several different application scenarios to demonstrate unique interactions that are enabled by our technique on fabrics.},
url = {http://approjects.co.za/?big=en-us/research/publication/capacitivo-contact-based-object-recognition-on-interactive-fabrics-using-capacitive-sensing/},
}