Super-Resolution Capacitive Touchscreens
Sven Mayer, Xiangyu Xu, Chris Harrison
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 capture 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 interesting applications. In this paper, we show how super-resolution techniques, long used in fields 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 geometric details finer than the original sensor resolution. This opens the door to passive tangibles with higher-density fiducials 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 findings of a multipart evaluation.
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Install the CLIlune papers fulltext 7e620b4b-5130-4e2a-8e48-5dadeeeeb9b1Cited by top-tier papers5
- Deep Learning Super-Resolution Network Facilitating Fiducial Tangibles on Capacitive TouchscreensMarius Mihai Rusu, Sven MayerCHI 2023 · 8 citations
- Touchscreen-based Hand Tracking for Remote Whiteboard InteractionXinshuang Liu, Yizhong Zhang, Xin TongUIST 2024 · 8 citations
- TrackPose: Towards Stable and User Adaptive Finger Pose Estimation on Capacitive TouchscreensKe He, Chentao Li, Yongjie Duan, Jianjiang Feng et al.UbiComp 2024 · 8 citations
- Log2Motion: Biomechanical Motion Synthesis from Touch LogsMichal Patryk Miazga, Hannah Bussmann, Antti Oulasvirta, Patrick EbelCHI 2026 · 2 citations
- DropleX: Liquid Sensing on Tablet TouchscreensSiqi Zhang, Mayank Goel, Justin ChanUbiComp 2026
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