@inproceedings{50306f88f0834d989daad8bb8ad0f892,
title = "Super-resolution capacitive touchscreens",
abstract = "Capacitive touchscreens are near-ubiquitous in today's touch-driven devices, such as smartphones and tablets. By using rows and columns of electrodes, specialized touch controllers are able to cap-ture a 2D image of capacitance at the surface of a screen. For over a decade, capacitive pixels have been around 4 millimeters in size - a surprisingly low resolution that precludes a wide range of inter-esting applications. In this paper, we show how super-resolution techniques, long used in felds such as biology and astronomy, can be applied to capacitive touchscreen data. By integrating data from many frames, our software-only process is able to resolve geomet-ric details fner than the original sensor resolution. This opens the door to passive tangibles with higher-density fducials and also recognition of every-day metal objects, such as keys and coins. We built several applications to illustrate the potential of our approach and report the fndings of a multipart evaluation.",
keywords = "Capacitive sensing, Super-resolution, Tangibles, Touch input, Tracking",
author = "Sven Mayer and Xiangyu Xu and Chris Harrison",
note = "Publisher Copyright: {\textcopyright} 2021 ACM.; 2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI 2021 ; Conference date: 08-05-2021 Through 13-05-2021",
year = "2021",
month = may,
day = "6",
doi = "10.1145/3411764.3445703",
language = "英语",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "CHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems",
}