Design of operator-based low power recording system for detecting contact signals from triboelectric touch sensor

DOI: https://doi.org/10.23075/jicas.2023.9.1.009
Keywords: Non-linear energy operator (NEO), Spike detection, Touch sensors, Triboelectric nanogenerators (TENG)

Abstract

This paper proposes a triboelectric nanogenerator (TENG) touch sensor combined with a spike detecting system capable of recognizing minute touches. Considering the characteristics of wearable and tactile-based architectures in TENG devices, the low power consumption and small implementation area of the IC are required. A non-linear energy operator which is used for the spike detection system replaces the digital logic with additional circuits and avoids the need for additional circuitry for signal processing. The resulting recording system built in a standard 180nm CMOS technology can measure the signal from 0.1 Hz to 7 kHz, meanwhile, detect spikes generated by the TENG device. The system has a supply voltage under 1.2 V and powers 22.56 μW while maintaining an acceptable noise level and a total IC area of 1 mm × 1 mm, including input-output pads.

Author Biographies

Joon Young Lim, Seoul National University

Joonyoung Lim received a B.S. degree in Nanoscience Engineering from Yonsei University, Seoul, Korea, in 2020 and is currently working toward Integrated M.S. and Ph.D. degree at Seoul National University, Korea. His main interest is designing and applying functional-analog front-end in the Brain-Machine Interface system.

Seok Won Joo, Seoul National University

Seokwon Joo received a B.S. and M.S. degree in nano-engineering from Gachon University, Seongnam, Korea, in 2016. His main interest is the fabrication of microstructures via various lithography techniques and applying it to electrical devices.

Gyu Ri Kim, Kyunghee University

Gyu-Ri Kim currently studies in Department of Biomedical Engineering, Kyunghee University, Gyeonggi 17104, Korea. Her main interests are RF circuits for wireless communications, especially highly efficient and linear RF transmitters.

Chae Eun Lee, Seoul National University

Chae-Eun Lee received a B.S degree in Electronics Engineering from Ewha Womans University, in 2017 and is currently working toward a Ph.D. degree in Nanoscience and Technology from Seoul National University, Korea. Her research interests include developing neuromodulation devices for visual prosthesis and bidirectional implantable Brain-Machine interfaces.

Yu Ri Kim, Seoul National University

Yu Ri Kim received a B.S. degree in Electric Engineering from Soongsil University, Seoul, Korea, in 2018 and is currently working toward Master degree in Nanoscience and Technology from Seoul National University, Korea. Her research interests include designing ultra-low-power systems for Brain-Machine Interface and recording Bio-Impedance.

Yoon Kyu Song, Seoul National University

Yoon-Kyu Song received the B.S. and M.S. degree in Electric engineering from Seoul National University, Korea, in 1992 and 1994, respectively, and the Ph.D. degree from Brown University, Providence, RI, in 1999. His research interests include basic and applied semiconductor optoelectronics, such as vertical-cavity lasers and nanostructured light emitters.

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Published
2023-01-01
How to Cite
Lim, J. Y., Joo, S. W., Kim, G. R., Lee, C. E., Kim, Y. R., & Song, Y. K. (2023). Design of operator-based low power recording system for detecting contact signals from triboelectric touch sensor. Journal of Integrated Circuits and Systems, 9(1). https://doi.org/10.23075/jicas.2023.9.1.009
Issue
Vol 9 No 1 (2023)
Section
Articles

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