CNS Core: Small: Towards Ubiquitous Sensing With Commodity Wi-Fi

CNS 核心:小型:利用商用 Wi-Fi 实现无处不在的传感

基本信息

  • 批准号:
    1910519
  • 负责人:
  • 金额:
    $ 45.87万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-10-01 至 2023-09-30
  • 项目状态:
    已结题

项目摘要

The prevalence of Wi-Fi devices and ubiquitous coverage of Wi-Fi networks provide the opportunity to extend Wi-Fi's capabilities beyond communication, particularly in human sensing. As Wi-Fi signals travel through space, they modulate with the human body and undergo wave phenomena such as reflection and diffraction, which carry a rich set of information about the physical environment including human activities and gestures. This project aims to reuse commodity Wi-Fi devices to capture such wave phenomena to sense multiple persons simultaneously and to provide quantifiable gesture recognition. Exploiting commodity Wi-Fi devices for human sensing enables ubiquitous sensing for easy and large-scale deployments without requiring users to wear or install any specialized sensors. The outcome of this project can be directly adopted by industry and will have a societal impact by facilitating a variety of applications such as Human-Computer Interaction, smart home, mobile healthcare, and security surveillance. This project will lead to new technologies for human sensing and provide new insights on developing emerging mobile applications. The research activities will be integrated into Florida State University's Computer Science education program and will include curriculum development, female and minority students involvement, and K-12 education and industry outreach.This project focuses on building a commodity Wi-Fi based ubiquitous sensing system that can simultaneously sense multiple persons and provides quantifiable gesture recognition without requiring environment-dependent training. The proposed work enables multiple people tracking and activity recognition by extracting the signal reflections from each individual person based on fine-grained signal reflection paths. The periodical change of the reflection signal is further exploited to derive quantitative measures such as the movement distance and speed for quantifiable gesture recognition. Moreover, the motion-induced Doppler effects that reflect the signal dynamic due to human body movements are leveraged to perform environment-independent sensing. Next, it applies the proposed sensing technologies to develop human-computer-interface applications by considering issues such as environmental interferences. In addition, the project expands the Wi-Fi sensing capabilities from human sensing to sensing bio-information of fruit crops. It leverages the frequency diversity to capture the physiological changes of fruit due to ripening and develops mechanisms to extract multipath-independent features for ripeness detection. Finally, the system will be evaluated using real-scale test-beds. The techniques, algorithms, and software resulting from this research will deepen our understanding of mobile sensing and provide practical value by enabling emerging applications.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Wi-Fi 设备的普及和 Wi-Fi 网络的无处不在的覆盖提供了将 Wi-Fi 功能扩展到通信之外的机会,特别是在人类感知方面。当 Wi-Fi 信号在空间中传播时,它们会与人体进行调制,并经历反射和衍射等波动现象,这些现象携带了有关物理环境的丰富信息,包括人类活动和手势。该项目旨在重复使用商用 Wi-Fi 设备来捕获此类波动现象,以同时感知多人并提供可量化的手势识别。利用商用 Wi-Fi 设备进行人体感应,可以实现无处不在的感应,从而轻松进行大规模部署,而无需用户佩戴或安装任何专门的传感器。该项目的成果可直接被行业采用,并将通过促进人机交互、智能家居、移动医疗和安全监控等各种应用产生社会影响。该项目将带来人类传感新技术,并为开发新兴移动应用程序提供新见解。研究活动将被纳入佛罗里达州立大学的计算机科学教育计划,并将包括课程开发、女性和少数族裔学生的参与以及 K-12 教育和行业推广。该项目的重点是构建一个基于商品 Wi-Fi 的无处不在的传感系统,可以同时感知多人并提供可量化的手势识别,无需依赖于环境的培训。所提出的工作通过基于细粒度信号反射路径提取每个人的信号反射来实现多人跟踪和活动识别。反射信号的周期性变化被进一步利用来导出定量测量,例如用于可量化手势识别的移动距离和速度。此外,利用反映人体运动引起的信号动态的运动引起的多普勒效应来执行与环境无关的感测。接下来,考虑环境干扰等问题,应用所提出的传感技术来开发人机界面应用。此外,该项目将Wi-Fi传感能力从人体传感扩展到水果作物的生物信息传感。它利用频率多样性来捕获水果因成熟而发生的生理变化,并开发提取多路径独立特征以进行成熟度检测的机制。最后,该系统将使用真实规模的测试台进行评估。这项研究产生的技术、算法和软件将加深我们对移动传感的理解,并通过支持新兴应用提供实用价值。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力优势和更广泛的影响进行评估,被认为值得支持审查标准。

项目成果

期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Person Re-identification in 3D Space: A WiFi Vision-based Approach
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ren;J. Yang
  • 通讯作者:
    Ren;J. Yang
Liquid Level Sensing Using Commodity WiFi in a Smart Home Environment
Tracking free-form activity using wifi signals
Commodity WiFi Sensing in Ten Years: Status, Challenges, and Opportunities
  • DOI:
    10.1109/jiot.2022.3164569
  • 发表时间:
    2022-09
  • 期刊:
  • 影响因子:
    10.6
  • 作者:
    Sheng Tan;J. Yang
  • 通讯作者:
    Sheng Tan;J. Yang
MultiTrack: Multi-User Tracking and Activity Recognition Using Commodity WiFi
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Jie Yang其他文献

Atomic Design and Fine-Tuning of Subnanometric Pt Catalysts to Tame Hydrogen Generation
亚纳米 Pt 催化剂的原子设计和微调以抑制氢气的产生
  • DOI:
    10.21203/rs.3.rs-84814/v1
  • 发表时间:
    2020-10
  • 期刊:
  • 影响因子:
    12.9
  • 作者:
    Jie Yang;Wenzhao Fu;Chaoqiu Chen;Wenyao Chen;Wugen Huang;Ruoou Yang;Qingqiang Kong;Baiyan Zhang;Jixiao Zhao;Chengmeng Chen;Jun Luo;Fan Yang;Xuezhi Duan;Zheng Jiang;Yong Qin
  • 通讯作者:
    Yong Qin
A robust CRISPR-Cas12a biosensor coated with metal-organic framework.
一种坚固的 CRISPR-Cas12a 生物传感器,涂有金属有机框架。
  • DOI:
    10.1039/d1tb01126j
  • 发表时间:
    2021-06
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Lingjun Sha;Yiwei Han;Minghui Wang;Shuai Wu;Jie Yang;Genxi Li
  • 通讯作者:
    Genxi Li
Evaluating the impact of flood irrigation on spatial variabilities of soil salinity and groundwater quality in an arid irrigated region
评价漫灌对干旱灌区土壤盐分和地下水质量空间变异的影响
  • DOI:
    10.2166/nh.2020.209
  • 发表时间:
    2020-12
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Nengzhan Zheng;Mengshen Guo;Weifeng Yue;Yanguo Teng;Yuanzheng Zhai;Jie Yang;Rui Zuo
  • 通讯作者:
    Rui Zuo
Construction of high-nuclear 4p–4f heterometallic {Ln11Ge12} cluster-organic frameworks with highsensitivity luminescence sensing of Fe3+ in aqueous solution
高核4p-4f异金属{Ln11Ge12}簇有机骨架的构建及其对水溶液中Fe3的高灵敏度发光传感
  • DOI:
    10.1039/d0ce01493a
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    3.1
  • 作者:
    Leilei Li;Bin Cai;Donghui Pang;Xinxin Du;Xingliang Yin;Huaiwei Wang;Jie Yang;Dacheng Li;Jianmin Dou
  • 通讯作者:
    Jianmin Dou
SIRT1 Promotes Osteogenic Differentiation in Human Dental Pulp Stem Cells through Counteracting the Activation of STAT3
SIRT1 通过对抗 STAT3 的激活促进人牙髓干细胞的成骨分化
  • DOI:
    10.3390/coatings11111353
  • 发表时间:
    2021-11
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Dan Zhao;Wen Kang;Yiwen Wang;Jiuyu Ge;Jianfeng Huang;Jie Yang;Weidong Yang;Xuna Tang;Sijing Xie
  • 通讯作者:
    Sijing Xie

Jie Yang的其他文献

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{{ truncateString('Jie Yang', 18)}}的其他基金

ATD: Collaborative Research: Real-Time Network Pattern Change Detection
ATD:协作研究:实时网络模式变化检测
  • 批准号:
    1924859
  • 财政年份:
    2019
  • 资助金额:
    $ 45.87万
  • 项目类别:
    Standard Grant
EAGER: Exploring the Feasibility of Phoneme Sound Origins to Enhance Mobile Authentication
EAGER:探索音素声音起源增强移动认证的可行性
  • 批准号:
    1835963
  • 财政年份:
    2018
  • 资助金额:
    $ 45.87万
  • 项目类别:
    Standard Grant
NeTS: Medium: Collaborative Research: Exploiting Fine-grained WiFi Signals for Wellbeing Monitoring
NeTS:媒介:协作研究:利用细粒度 WiFi 信号进行健康监测
  • 批准号:
    1514238
  • 财政年份:
    2015
  • 资助金额:
    $ 45.87万
  • 项目类别:
    Continuing Grant
CSR: Medium: Collaborative Research: Guardian Angel---Enabling Mobile Safety Systems
CSR:媒介:协作研究:守护天使——赋能移动安全系统
  • 批准号:
    1505175
  • 财政年份:
    2014
  • 资助金额:
    $ 45.87万
  • 项目类别:
    Continuing Grant
NeTS: Small: Collaborative Research: Distributed Robust Spectrum Sensing and Sharing in Cognitive Radio Networks
NetS:小型:协作研究:认知无线电网络中的分布式鲁棒频谱感知和共享
  • 批准号:
    1464092
  • 财政年份:
    2014
  • 资助金额:
    $ 45.87万
  • 项目类别:
    Standard Grant
CSR: Medium: Collaborative Research: Guardian Angel---Enabling Mobile Safety Systems
CSR:媒介:协作研究:守护天使——赋能移动安全系统
  • 批准号:
    1409652
  • 财政年份:
    2014
  • 资助金额:
    $ 45.87万
  • 项目类别:
    Continuing Grant
NeTS: Small: Collaborative Research: Distributed Robust Spectrum Sensing and Sharing in Cognitive Radio Networks
NetS:小型:协作研究:认知无线电网络中的分布式鲁棒频谱感知和共享
  • 批准号:
    1318751
  • 财政年份:
    2013
  • 资助金额:
    $ 45.87万
  • 项目类别:
    Standard Grant

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