Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41467-020-18471-z
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dc.titleDeep learning enabled smart mats as a scalable floor monitoring system
dc.contributor.authorShi, Qiongfeng
dc.contributor.authorZhang, Zixuan
dc.contributor.authorHe, Tianyiyi
dc.contributor.authorSun, Zhongda
dc.contributor.authorWang, Bingjie
dc.contributor.authorFeng, Yuqin
dc.contributor.authorShan, Xuechuan
dc.contributor.authorSalam, Budiman
dc.contributor.authorLee, Chengkuo
dc.date.accessioned2021-04-20T01:37:25Z
dc.date.available2021-04-20T01:37:25Z
dc.date.issued2020-09-14
dc.identifier.citationShi, Qiongfeng, Zhang, Zixuan, He, Tianyiyi, Sun, Zhongda, Wang, Bingjie, Feng, Yuqin, Shan, Xuechuan, Salam, Budiman, Lee, Chengkuo (2020-09-14). Deep learning enabled smart mats as a scalable floor monitoring system. NATURE COMMUNICATIONS 11 (1). ScholarBank@NUS Repository. https://doi.org/10.1038/s41467-020-18471-z
dc.identifier.issn20411723
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/189800
dc.description.abstractToward smart building and smart home, floor as one of our most frequently interactive interfaces can be implemented with embedded sensors to extract abundant sensory information without the video-taken concerns. Yet the previously developed floor sensors are normally of small scale, high implementation cost, large power consumption, and complicated device configuration. Here we show a smart floor monitoring system through the integration of self-powered triboelectric floor mats and deep learning-based data analytics. The floor mats are fabricated with unique “identity” electrode patterns using a low-cost and highly scalable screen printing technique, enabling a parallel connection to reduce the system complexity and the deep-learning computational cost. The stepping position, activity status, and identity information can be determined according to the instant sensory data analytics. This developed smart floor technology can establish the foundation using floor as the functional interface for diverse applications in smart building/home, e.g., intelligent automation, healthcare, and security.
dc.language.isoen
dc.publisherNATURE RESEARCH
dc.sourceElements
dc.subjectScience & Technology
dc.subjectMultidisciplinary Sciences
dc.subjectScience & Technology - Other Topics
dc.subjectTRIBOELECTRIC NANOGENERATOR
dc.subjectSENSOR
dc.subjectMINIMALIST
dc.subjectINTERNET
dc.subjectTHINGS
dc.typeArticle
dc.date.updated2021-04-15T06:25:26Z
dc.contributor.departmentDEPT OF ELECTRICAL & COMPUTER ENGG
dc.description.doi10.1038/s41467-020-18471-z
dc.description.sourcetitleNATURE COMMUNICATIONS
dc.description.volume11
dc.description.issue1
dc.published.statePublished
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