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A disposable cup inspired smart floor for trajectory recognition and human-interactive sensing

Author

Listed:
  • Zhao, Lin-Chuan
  • Zhou, Teng
  • Chang, Si-Deng
  • Zou, Hong-Xiang
  • Gao, Qiu-Hua
  • Wu, Zhi-Yuan
  • Yan, Ge
  • Wei, Ke-Xiang
  • Yeatman, Eric M.
  • Meng, Guang
  • Zhang, Wen-Ming

Abstract

Smart floor is an indispensable component of future smart buildings, it is urgent to develop a low-cost, self-powered, and high reliability smart floor. Herein, we propose a disposable cups inspired self-powered smart floor (DCIS-floor) for trajectory recognition and human-interactive sensing. The conical surface of the cup-shaped triboelectric nanogenerator (TENG) is greater than the projected area, resulting in an increased working area of functional materials on a limited floor. This enables more power generation units to be arranged on the limited floor while ensuring that each unit can generate sufficient electricity. Both pressure and shear force are applied as two conical surfaces contact, increasing the degree of contact between functional materials while avoiding excessive frictional force and wear during working process. Compared to cylindrical structures, conical structures offer greater flexibility in contact-separation without intricate machining and assembly, which is ideal for efficient large-area manufacturing. In the experiments, DCIS-floor achieves object motion trajectory recognition, visual recognition based trajectory wireless sensing, and pressure distribution sensing functions. Utilizing a convolutional neural network for data analysis, DCIS-floor realizes personnel identification. This work provides an effective method for smart floors in the safety monitoring, intelligent identification, and emergency rescue of future smart buildings.

Suggested Citation

  • Zhao, Lin-Chuan & Zhou, Teng & Chang, Si-Deng & Zou, Hong-Xiang & Gao, Qiu-Hua & Wu, Zhi-Yuan & Yan, Ge & Wei, Ke-Xiang & Yeatman, Eric M. & Meng, Guang & Zhang, Wen-Ming, 2024. "A disposable cup inspired smart floor for trajectory recognition and human-interactive sensing," Applied Energy, Elsevier, vol. 357(C).
  • Handle: RePEc:eee:appene:v:357:y:2024:i:c:s0306261923018883
    DOI: 10.1016/j.apenergy.2023.122524
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    References listed on IDEAS

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    1. Zhao, Yunpeng & Fan, Zhongqi & Bi, Chunwei & Wang, Hao & Mi, Jianchun & Xu, Minyi, 2022. "On hydrodynamic and electrical characteristics of a self-powered triboelectric nanogenerator based buoy under water ripples," Applied Energy, Elsevier, vol. 308(C).
    2. Zhou, Bin & Li, Wentao & Chan, Ka Wing & Cao, Yijia & Kuang, Yonghong & Liu, Xi & Wang, Xiong, 2016. "Smart home energy management systems: Concept, configurations, and scheduling strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 30-40.
    3. Qi, Youchao & Kuang, Yang & Liu, Yaoyao & Liu, Guoxu & Zeng, Jianhua & Zhao, Junqing & Wang, Lu & Zhu, Meiling & Zhang, Chi, 2022. "Kirigami-inspired triboelectric nanogenerator as ultra-wide-band vibrational energy harvester and self-powered acceleration sensor," Applied Energy, Elsevier, vol. 327(C).
    4. Zhu, Mingkang & Zhang, Jiacheng & Wang, Zhaohui & Yu, Xin & Zhang, Yuejun & Zhu, Jianyang & Wang, Zhong Lin & Cheng, Tinghai, 2022. "Double-blade structured triboelectric–electromagnetic hybrid generator with aerodynamic enhancement for breeze energy harvesting," Applied Energy, Elsevier, vol. 326(C).
    5. Wang, Xinxian & Gao, Qi & Zhu, Mingkang & Wang, Jianlong & Zhu, Jianyang & Zhao, Hongwei & Wang, Zhong Lin & Cheng, Tinghai, 2022. "Bioinspired butterfly wings triboelectric nanogenerator with drag amplification for multidirectional underwater-wave energy harvesting," Applied Energy, Elsevier, vol. 323(C).
    6. Yijia Lu & Han Tian & Jia Cheng & Fei Zhu & Bin Liu & Shanshan Wei & Linhong Ji & Zhong Lin Wang, 2022. "Decoding lip language using triboelectric sensors with deep learning," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    7. Liu, Mingyi & Lin, Rui & Zhou, Shengxi & Yu, Yilun & Ishida, Aki & McGrath, Margarita & Kennedy, Brook & Hajj, Muhammad & Zuo, Lei, 2018. "Design, simulation and experiment of a novel high efficiency energy harvesting paver," Applied Energy, Elsevier, vol. 212(C), pages 966-975.
    8. Fan, Kangqi & Chen, Chenggen & Zhang, Baosen & Li, Xiang & Wang, Zhen & Cheng, Tinghai & Lin Wang, Zhong, 2022. "Robust triboelectric-electromagnetic hybrid nanogenerator with maglev-enabled automatic mode transition for exploiting breeze energy," Applied Energy, Elsevier, vol. 328(C).
    9. Feng Wen & Zixuan Zhang & Tianyiyi He & Chengkuo Lee, 2021. "AI enabled sign language recognition and VR space bidirectional communication using triboelectric smart glove," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
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