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Multimodal Intelligent Flooring System for Advanced Smart-Building Monitoring and Interactions.
Chen, Yuqi; Hong, Jianlong; Xiao, Yukun; Zhang, Huiyun; Wu, Jun; Shi, Qiongfeng.
Affiliation
  • Chen Y; Joint International Research Laboratory of Information Display and Visualization, School of Electronic Science and Engineering, Southeast University, Nanjing, 210096, China.
  • Hong J; Joint International Research Laboratory of Information Display and Visualization, School of Electronic Science and Engineering, Southeast University, Nanjing, 210096, China.
  • Xiao Y; Joint International Research Laboratory of Information Display and Visualization, School of Electronic Science and Engineering, Southeast University, Nanjing, 210096, China.
  • Zhang H; Joint International Research Laboratory of Information Display and Visualization, School of Electronic Science and Engineering, Southeast University, Nanjing, 210096, China.
  • Wu J; Joint International Research Laboratory of Information Display and Visualization, School of Electronic Science and Engineering, Southeast University, Nanjing, 210096, China.
  • Shi Q; Joint International Research Laboratory of Information Display and Visualization, School of Electronic Science and Engineering, Southeast University, Nanjing, 210096, China.
Adv Sci (Weinh) ; : e2406190, 2024 Aug 22.
Article in En | MEDLINE | ID: mdl-39169820
ABSTRACT
The floor constitutes one of the largest areas within a building with which users interact most frequently in daily activities. Employing floor sensors is vital for smart-building digital twins, wherein triboelectric nanogenerators demonstrate wide application potential due to their good performance and self-powering characteristics. However, their sensing stability, reliability, and multimodality require further enhancement to meet the rapidly evolving demands. Thus, this work introduces a multimodal intelligent flooring system, implementing a 4 × 4 floor array for multimodal information detection (including position, pressure, material, user identity, and activity) and human-machine interactions. The floor unit incorporates a hybrid structure of triboelectric pressure sensors and a top-surface material sensor, facilitating linear and enhanced sensitivity across a wide pressure range (0-800 N), alongside the material recognition capability. The floor array is implemented by an advanced output-ratio method with minimalist output channels, which is insensitive to environmental factors such as humidity and temperature. In addition to multimodal sensing, energy harvesting is co-designed with the pressure sensors for scavenging waste energy to power smart-building sensor nodes. This developed flooring system enables multimodal sensing, energy harvesting, and smart-sport interactions in smart buildings, greatly expanding the floor sensing scenarios and applications.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Adv Sci (Weinh) Year: 2024 Document type: Article Affiliation country: China Country of publication: Alemania

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Adv Sci (Weinh) Year: 2024 Document type: Article Affiliation country: China Country of publication: Alemania