ABSTRACT
We present a new approach to address the challenges associated with maintaining the functionality of triboelectric vibration sensors in smart plywood during woodworking operations involving nails and screws. The current state-of-the-art sensor design employs non-overlapping electrodes, which unfortunately leads to significant compromises in terms of signal strength and clarity, particularly in real-world scenarios that involve electromagnetic (EM) interference. To overcome these limitations, we propose a method that enables the woodworker to manually isolate short-circuited electrodes. This method facilitates the creation of sensors using overlapping electrodes, while also incorporating EM shielding, thereby resulting in a substantial improvement in the sensor’s robustness when detecting user activities. To validate the effectiveness of our proposed approach, we conducted a series of experiments, which not only shed light on the drawbacks of non-overlapping electrode designs but also demonstrated the significant improvements achieved through our method.
Supplemental Material
Available for Download
- Nivedita Arora, Steven L. Zhang, Fereshteh Shahmiri, Diego Osorio, Yi-Cheng Wang, Mohit Gupta, Zhengjun Wang, Thad Starner, Zhong Lin Wang, and Gregory D. Abowd. 2018. SATURN: A Thin and Flexible Self-Powered Microphone Leveraging Triboelectric Nanogenerator. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2, 2, Article 60 (jul 2018), 28 pages. https://doi.org/10.1145/3214263Google ScholarDigital Library
- Artem Dementyev, Hsin-Liu Kao, and Joseph A Paradiso. 2015. Sensortape: Modular and programmable 3d-aware dense sensor network on a tape. In Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology. 649–658.Google ScholarDigital Library
- Xing Fan, Jun Chen, Jin Yang, Peng Bai, Zhaoling Li, and Zhong Lin Wang. 2015. Ultrathin, rollable, paper-based triboelectric nanogenerator for acoustic energy harvesting and self-powered sound recording. ACS nano 9, 4 (2015), 4236–4243.Google Scholar
- Xing Fan, Jun Chen, Jin Yang, Peng Bai, Zhaoling Li, and Zhong Lin Wang. 2015. Ultrathin, Rollable, Paper-Based Triboelectric Nanogenerator for Acoustic Energy Harvesting and Self-Powered Sound Recording. ACS Nano 9, 4 (April 2015), 4236–4243. https://doi.org/10.1021/acsnano.5b00618 Publisher: American Chemical Society.Google ScholarCross Ref
- Jun Gong, Yu Wu, Lei Yan, Teddy Seyed, and Xing-Dong Yang. 2019. Tessutivo: Contextual interactions on interactive fabrics with inductive sensing. In Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology. 29–41.Google ScholarDigital Library
- Saifei Hao, Jingyi Jiao, Yandong Chen, Zhong Lin Wang, and Xia Cao. 2020. Natural wood-based triboelectric nanogenerator as self-powered sensing for smart homes and floors. Nano Energy 75 (2020), 104957.Google ScholarCross Ref
- Ahmed Haroun, Mohamed Tarek, Mohamed Mosleh, and Farouk Ismail. 2022. Recent progress on triboelectric nanogenerators for vibration energy harvesting and vibration sensing. Nanomaterials 12, 17 (2022), 2960.Google ScholarCross Ref
- Chris Harrison and Scott E Hudson. 2008. Scratch input: creating large, inexpensive, unpowered and mobile finger input surfaces. In Proceedings of the 21st annual ACM symposium on User interface software and technology. 205–208.Google ScholarDigital Library
- David Holman and Roel Vertegaal. 2011. TactileTape: low-cost touch sensing on curved surfaces. In Proceedings of the 24th annual ACM symposium adjunct on User interface software and technology. 17–18.Google ScholarDigital Library
- Te-Chien Hou, Ya Yang, Hulin Zhang, Jun Chen, Lih-Juann Chen, and Zhong Lin Wang. 2013. Triboelectric nanogenerator built inside shoe insole for harvesting walking energy. Nano Energy 2, 5 (2013), 856–862.Google ScholarCross Ref
- Kiyoshi Itao. 2007. Wearable Sensor Network Connecting Artifacts, Nature and Human Being. In SENSORS, 2007 IEEE. 1120–1123. https://doi.org/10.1109/ICSENS.2007.4388603Google ScholarCross Ref
- Weon-Guk Kim, Do-Wan Kim, Il-Woong Tcho, Jin-Ki Kim, Moon-Seok Kim, and Yang-Kyu Choi. 2021. Triboelectric nanogenerator: Structure, mechanism, and applications. Acs Nano 15, 1 (2021), 258–287.Google ScholarCross Ref
- Saman Kuntharin, Viyada Harnchana, Jirapan Sintusiri, Prasit Thongbai, Annop Klamchuen, Kitiphat Sinthiptharakoon, Vittaya Amornkitbamrung, and Prinya Chindaprasirt. 2023. Smart triboelectric floor based on calcium silicate-carbon composite for energy harvesting and motion sensing applications. Sensors and Actuators A: Physical 358 (2023), 114423.Google ScholarCross Ref
- Zhihui Lai, Junchen Xu, Chris R Bowen, and Shengxi Zhou. 2022. Self-powered and self-sensing devices based on human motion. Joule 6, 7 (2022), 1501–1565.Google ScholarCross Ref
- Long Lin, Sihong Wang, Yannan Xie, Qingshen Jing, Simiao Niu, Youfan Hu, and Zhong Lin Wang. 2013. Segmentally structured disk triboelectric nanogenerator for harvesting rotational mechanical energy. Nano letters 13, 6 (2013), 2916–2923.Google Scholar
- Jinming Ma, Yang Jie, Jie Bian, Tao Li, Xia Cao, and Ning Wang. 2017. From triboelectric nanogenerator to self-powered smart floor: a minimalist design. Nano Energy 39 (2017), 192–199.Google ScholarCross Ref
- E Wood Meier. 2015. Identifying and using hundreds of woods worldwide. Wood Database (2015).Google Scholar
- Simiao Niu, Sihong Wang, Long Lin, Ying Liu, Yu Sheng Zhou, Youfan Hu, and Zhong Lin Wang. 2013. Theoretical study of contact-mode triboelectric nanogenerators as an effective power source. Energy & Environmental Science 6, 12 (2013), 3576–3583.Google ScholarCross Ref
- Simiao Niu and Zhong Lin Wang. 2015. Theoretical systems of triboelectric nanogenerators. Nano Energy 14 (2015), 161–192. https://doi.org/10.1016/j.nanoen.2014.11.034 Special issue on the 2nd International Conference on Nanogenerators and Piezotronics (NGPT 2014).Google ScholarCross Ref
- Simon Olberding, Nan-Wei Gong, John Tiab, Joseph A Paradiso, and Jürgen Steimle. 2013. A cuttable multi-touch sensor. In Proceedings of the 26th annual ACM symposium on User interface software and technology. 245–254.Google ScholarDigital Library
- Shijia Pan, Ceferino Gabriel Ramirez, Mostafa Mirshekari, Jonathon Fagert, Albert Jin Chung, Chih Chi Hu, John Paul Shen, Hae Young Noh, and Pei Zhang. 2017. Surfacevibe: vibration-based tap & swipe tracking on ubiquitous surfaces. In Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks. 197–208.Google ScholarDigital Library
- Patrick Parzer, Florian Perteneder, Kathrin Probst, Christian Rendl, Joanne Leong, Sarah Schuetz, Anita Vogl, Reinhard Schwoediauer, Martin Kaltenbrunner, Siegfried Bauer, 2018. Resi: A highly flexible, pressure-sensitive, imperceptible textile interface based on resistive yarns. In Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology. 745–756.Google ScholarDigital Library
- Yu Shao, Xinyue Wang, Wenjie Song, Sobia Ilyas, Haibo Guo, and Wen-Shao Chang. 2021. Feasibility of using floor vibration to detect human falls. International journal of environmental research and public health 18, 1 (2021), 200.Google Scholar
- Jianguo Sun, Kunkun Tu, Simon Büchele, Sophie Marie Koch, Yong Ding, Shivaprakash N. Ramakrishna, Sandro Stucki, Hengyu Guo, Changsheng Wu, Tobias Keplinger, Javier Pérez-Ramírez, Ingo Burgert, and Guido Panzarasa. 2021. Functionalized wood with tunable tribopolarity for efficient triboelectric nanogenerators. Matter 4, 9 (2021), 3049–3066. https://doi.org/10.1016/j.matt.2021.07.022Google ScholarCross Ref
- Saiganesh Swaminathan, Jonathon Fagert, Michael Rivera, Andrew Cao, Gierad Laput, Hae Young Noh, and Scott E Hudson. 2020. Optistructures: Fabrication of room-scale interactive structures with embedded fiber bragg grating optical sensors and displays. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4, 2 (2020), 1–21.Google ScholarDigital Library
- Ryo Takahashi, Takuya Sasatani, Fuminori Okuya, Yoshiaki Narusue, and Yoshihiro Kawahara. 2018. Design of Cuttable Wireless Power Transfer Sheet. In Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers. 456–459.Google ScholarDigital Library
- Wei Teng, Xian Ding, Shiyao Tang, Jin Xu, Bingshuai Shi, and Yibing Liu. 2021. Vibration analysis for fault detection of wind turbine drivetrains—A comprehensive investigation. Sensors 21, 5 (2021), 1686.Google ScholarCross Ref
- Zhong Lin Wang. 2013. Triboelectric nanogenerators as new energy technology for self-powered systems and as active mechanical and chemical sensors. ACS nano 7, 11 (2013), 9533–9557.Google Scholar
- Raphael Wimmer and Patrick Baudisch. 2011. Modular and deformable touch-sensitive surfaces based on time domain reflectometry. In Proceedings of the 24th annual ACM symposium on User interface software and technology. 517–526.Google ScholarDigital Library
- Te-Yen Wu and Xing-Dong Yang. 2022. iWood: Makeable Vibration Sensor for Interactive Plywood. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology. 1–12.Google ScholarDigital Library
- Robert Xiao, Greg Lew, James Marsanico, Divya Hariharan, Scott Hudson, and Chris Harrison. 2014. Toffee: enabling ad hoc, around-device interaction with acoustic time-of-arrival correlation. In Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services. 67–76.Google ScholarDigital Library
- Minyi Xu, Peihong Wang, Yi-Cheng Wang, Steven L Zhang, Aurelia Chi Wang, Chunli Zhang, Zhengjun Wang, Xinxiang Pan, and Zhong Lin Wang. 2018. A soft and robust spring based triboelectric nanogenerator for harvesting arbitrary directional vibration energy and self-powered vibration sensing. Advanced Energy Materials 8, 9 (2018), 1702432.Google ScholarCross Ref
- Jin Yang, Jun Chen, Ying Liu, Weiqing Yang, Yuanjie Su, and Zhong Lin Wang. 2014. Triboelectrification-based organic film nanogenerator for acoustic energy harvesting and self-powered active acoustic sensing. ACS nano 8, 3 (2014), 2649–2657.Google Scholar
- Yuanming Zeng, Huijing Xiang, Ning Zheng, Xia Cao, Ning Wang, and Zhong Lin Wang. 2022. Flexible triboelectric nanogenerator for human motion tracking and gesture recognition. Nano Energy 91 (2022), 106601.Google ScholarCross Ref
- Hulin Zhang, Ya Yang, Yuanjie Su, Jun Chen, Katherine Adams, Sangmin Lee, Chenguo Hu, and Zhong Lin Wang. 2014. Triboelectric nanogenerator for harvesting vibration energy in full space and as self-powered acceleration sensor. Advanced Functional Materials 24, 10 (2014), 1401–1407.Google ScholarCross Ref
Index Terms
- WooDowel: Electrode Isolation for Electromagnetic Shielding in Triboelectric Plywood Sensors
Recommendations
Ultra Wide Band Electromagnetic Shielding Through a Simple Single Layer Frequency Selective Surface
Due to enormous increase of electromagnetic radiation emitted from proliferating radiating sources, precautionary approaches should be taken to minimize the resultant electromagnetic interference (EMI). Recognized as an effective countermeasure, ...
Polarization-insensitive large-scanning-angle broadband-stop frequency-selective surface for electromagnetic shielding
AbstractAn ultra-wideband reject, polarization-insensitive patch-type frequency-selective surface (FSS) with great angular stability is designed, and results are well demonstrated. The proposed FSS is fabricated on single-layer FR4 substrate with a ...
Tagnoo: Enabling Smart Room-Scale Environments with RFID-Augmented Plywood
CHI '24: Proceedings of the CHI Conference on Human Factors in Computing SystemsTagnoo is a computational plywood augmented with RFID tags, aimed at empowering woodworkers to effortlessly create room-scale smart environments. Unlike existing solutions, Tagnoo does not necessitate technical expertise or disrupt established woodworking ...
Comments