A Fully-Dynamic Capacitive Touch Sensor With Tri-level Energy Recycling and Compressive Sensing Technique

Journal Article (2025)
Author(s)

Xiangdong Feng (Zhejiang University - Hangzhou)

Zhiyu Wang (Zhejiang University - Hangzhou)

Haoyang Li (Zhejiang University - Hangzhou)

Jiaqing Li (Zhejiang University - Hangzhou)

Wei Chin Lin (Zhejiang University - Hangzhou)

Xin Hu (Zhejiang University - Hangzhou)

Zhong Tang (Xidian University, Hangzhou Institute of Technology)

Yuyan Liu (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Qinwen Fan (TU Delft - Electrical Engineering, Mathematics and Computer Science)

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Research Group
Electronic Components, Technology and Materials
DOI related publication
https://doi.org/10.1109/LSSC.2025.3612093 Final published version
More Info
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Publication Year
2025
Language
English
Research Group
Electronic Components, Technology and Materials
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Journal title
IEEE Solid-State Circuits Letters
Volume number
8
Pages (from-to)
337-340
Downloads counter
115
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Abstract

Capacitive touch screens have become the dominant user interface over the past decade. Achieving high framerates with low power consumption remains a critical design goal for touch systems. The conventional charge-recycling technique reduces driving power by 64%, but it relies on off-chip capacitors. To address this issue, we propose a tri-level energy recycling scheme, in which energy released during the 2-to-1 transition is recycled to power the 0-to-1 transition on the complementary channel. This approach achieves a 25% power reduction using on-chip transmission gates. Additionally, a compressive sensing method is introduced to selectively process touched RX channels while bypassing the others, reducing the number of fine ADCs by a factor of four compared to conventional two-step sensing. The proposed techniques are implemented in a 65 nm CMOS process and integrated into a 32×20 channel prototype occupying 2.4 mm2. Measurement results show that the chip consumes only 2.6 mW at a framerate of 1513 Hz. The signal-to-noise ratio (SNR) reaches 49.7 dB for finger touch and 28.7 dB for a 1 mm Φ stylus, resulting in an energy efficiency of 10.66 pJ/step.

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