IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v357y2024ics0306261923018883.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261923018883
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2023.122524?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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).
    4. 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).
    5. 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).
    6. 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.
    7. 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).
    8. 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).
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hashim Raza Khan & Wajahat Ahmed & Wasiq Masud & Urooj Alam & Kamran Arshad & Khaled Assaleh & Saad Ahmed Qazi, 2024. "Design and Experimental Results of an AIoT-Enabled, Energy-Efficient Ceiling Fan System," Sustainability, MDPI, vol. 16(12), pages 1-18, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pang, Yafeng & Zhu, Xingyi & Jin, Yiyang & Yang, Zichao & Liu, Shuainian & Shen, Lingjie & Li, Xinhong & Lee, Chengkuo, 2023. "Textile-inspired triboelectric nanogenerator as intelligent pavement energy harvester and self-powered skid resistance sensor," Applied Energy, Elsevier, vol. 348(C).
    2. Zhang, Jiacheng & Yu, Yang & Li, Hengyu & Zhu, Mingkang & Zhang, Sheng & Gu, Chengjie & Jiang, Lin & Wang, Zhong Lin & Zhu, Jianyang & Cheng, Tinghai, 2024. "Triboelectric-electromagnetic hybrid generator with Savonius flapping wing for low-velocity water flow energy harvesting," Applied Energy, Elsevier, vol. 357(C).
    3. Taemin Kim & Yejee Shin & Kyowon Kang & Kiho Kim & Gwanho Kim & Yunsu Byeon & Hwayeon Kim & Yuyan Gao & Jeong Ryong Lee & Geonhui Son & Taeseong Kim & Yohan Jun & Jihyun Kim & Jinyoung Lee & Seyun Um , 2022. "Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfaces," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    4. Flavio Martins & Maria Fatima Almeida & Rodrigo Calili & Agatha Oliveira, 2020. "Design Thinking Applied to Smart Home Projects: A User-Centric and Sustainable Perspective," Sustainability, MDPI, vol. 12(23), pages 1-27, December.
    5. Li, Hui & Wang, LiGuo, 2023. "Numerical study on self-power supply of large marine monitoring buoys: Wave-excited vibration energy harvesting and harvester optimization," Energy, Elsevier, vol. 285(C).
    6. Jia, Kunqi & Guo, Ge & Xiao, Jucheng & Zhou, Huan & Wang, Zhihua & He, Guangyu, 2019. "Data compression approach for the home energy management system," Applied Energy, Elsevier, vol. 247(C), pages 643-656.
    7. Liu, Mingyi & Qian, Feng & Mi, Jia & Zuo, Lei, 2022. "Biomechanical energy harvesting for wearable and mobile devices: State-of-the-art and future directions," Applied Energy, Elsevier, vol. 321(C).
    8. Chen, Chien-fei & Nelson, Hannah & Xu, Xiaojing & Bonilla, Gregory & Jones, Nicholas, 2021. "Beyond technology adoption: Examining home energy management systems, energy burdens and climate change perceptions during COVID-19 pandemic," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    9. Ioanna-M. Chatzigeorgiou & Christos Diou & Kyriakos C. Chatzidimitriou & Georgios T. Andreou, 2021. "Demand Response Alert Service Based on Appliance Modeling," Energies, MDPI, vol. 14(10), pages 1-15, May.
    10. Wang, Yilong & Yang, Zhengbao & Cao, Dengqing, 2021. "On the offset distance of rotational piezoelectric energy harvesters," Energy, Elsevier, vol. 220(C).
    11. Mahmoud H. Elkholy & Tomonobu Senjyu & Mohammed Elsayed Lotfy & Abdelrahman Elgarhy & Nehad S. Ali & Tamer S. Gaafar, 2022. "Design and Implementation of a Real-Time Smart Home Management System Considering Energy Saving," Sustainability, MDPI, vol. 14(21), pages 1-22, October.
    12. Pol Olivella-Rosell & Pau Lloret-Gallego & Íngrid Munné-Collado & Roberto Villafafila-Robles & Andreas Sumper & Stig Ødegaard Ottessen & Jayaprakash Rajasekharan & Bernt A. Bremdal, 2018. "Local Flexibility Market Design for Aggregators Providing Multiple Flexibility Services at Distribution Network Level," Energies, MDPI, vol. 11(4), pages 1-19, April.
    13. Mehrjerdi, Hasan & Bornapour, Mosayeb & Hemmati, Reza & Ghiasi, Seyyed Mohammad Sadegh, 2019. "Unified energy management and load control in building equipped with wind-solar-battery incorporating electric and hydrogen vehicles under both connected to the grid and islanding modes," Energy, Elsevier, vol. 168(C), pages 919-930.
    14. Barbara Kasulaitis & Callie W. Babbitt & Anna Christina Tyler, 2021. "The role of consumer preferences in reducing material intensity of electronic products," Journal of Industrial Ecology, Yale University, vol. 25(2), pages 435-447, April.
    15. Nizami, M.S.H. & Hossain, M.J. & Amin, B.M. Ruhul & Fernandez, Edstan, 2020. "A residential energy management system with bi-level optimization-based bidding strategy for day-ahead bi-directional electricity trading," Applied Energy, Elsevier, vol. 261(C).
    16. Adnan Ahmad & Asif Khan & Nadeem Javaid & Hafiz Majid Hussain & Wadood Abdul & Ahmad Almogren & Atif Alamri & Iftikhar Azim Niaz, 2017. "An Optimized Home Energy Management System with Integrated Renewable Energy and Storage Resources," Energies, MDPI, vol. 10(4), pages 1-35, April.
    17. Correa-Florez, Carlos Adrian & Gerossier, Alexis & Michiorri, Andrea & Kariniotakis, Georges, 2018. "Stochastic operation of home energy management systems including battery cycling," Applied Energy, Elsevier, vol. 225(C), pages 1205-1218.
    18. Prinsloo, Gerro & Dobson, Robert & Mammoli, Andrea, 2018. "Synthesis of an intelligent rural village microgrid control strategy based on smartgrid multi-agent modelling and transactive energy management principles," Energy, Elsevier, vol. 147(C), pages 263-278.
    19. Nuno Rego & Rui Castro & Carlos Santos Silva, 2023. "Assessment of Current Smart House Solutions: The Case of Portugal," Energies, MDPI, vol. 16(22), pages 1-23, November.
    20. K. Yang & Sung-Bae Cho, 2016. "Towards Sustainable Smart Homes by a Hierarchical Hybrid Architecture of an Intelligent Agent," Sustainability, MDPI, vol. 8(10), pages 1-15, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:357:y:2024:i:c:s0306261923018883. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.