WiFiUS: RF Sensing in Internet of Things: When Deep Learning Meets CSI Tensor
WiFiUS:物联网中的射频传感:当深度学习遇到 CSI Tensor
基本信息
- 批准号:1702957
- 负责人:
- 金额:$ 30万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-04-15 至 2020-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Internet of Things (IoT) refers to a worldwide network of interconnected uniquely addressable things based on standard communication protocols. In recent years, medical care and healthcare are recognized as one of the most attractive application areas of the IoT, with applications ranging from patient and equipment tracking in medical facilities to health monitoring. The goal of this project is to investigate an IoT healthcare monitoring system, which is likely to continue to grow in popularity as it utilizes IoT in various ways for improving the quality of patient care. The outcomes from this project will significantly improve the state-of-the-art of RF sensing in the IoT, and provide a significant step toward enriched user experience at greatly reduced costs. The educational plan includes developing and enhancing undergraduate and graduate-level courses in the field. The simulation tool and testbed will provide excellent opportunities for students to gain hands-on experience in the cutting-edge technology. Outcomes from this project will be disseminated through publications, presentations, and a project website. The PIs are fully committed to increasing participation from under-represented groups in research, and will continue to further such efforts via outreach, in particular, through collaboration with Historically Black Colleges and Universities (HBCU).Specifically, this project aims to gain a deep understanding of RF sensing in healthcare IoT by exploiting advanced statistics and learning techniques, and to develop effective algorithms to make healthcare IoT more efficient. This research intends to significantly reduce the cost and improve the accuracy of RF sensing in healthcare IoT with intelligent exploration of CSI tensor and deep learning. The research work falls into the following three interwoven thrusts. (i) RF Sensing in Indoor IoT Environments: to address several fundamental challenges in RF sensing in indoor IoT environments, including developing a stochastic model for CSI based fingerprinting, incorporating nested arrays, and applying deep learning for indoor device-free localization. (ii) RF Sensing for Healthcare: to develop effective solutions for contact-free and long-term vital signs and human behavior monitoring, using RF and inaudible sound signals. (iii) System integration and evaluation: we will integrate the components from the first two thrusts into a healthcare IoT environment to understand the interaction of these components and evaluate the overall system performance.
物联网(IoT)是指基于标准通信协议的全球互联唯一解决方案网络。近年来,医疗保健和医疗保健被认为是物联网最具吸引力的应用领域之一,其应用程序从医疗机构中的患者和设备跟踪到健康监测。该项目的目的是调查物联网医疗保健监测系统,由于它以各种方式利用IoT来提高患者护理质量,因此该系统可能会继续受欢迎。该项目的结果将显着改善物联网中RF感测的最新水平,并为以大大降低的成本迈出了丰富的用户体验的重要一步。教育计划包括开发和增强该领域的本科和研究生课程。模拟工具和测试台将为学生提供极好的机会,以获得最先进技术的动手经验。该项目的结果将通过出版物,演示文稿和项目网站传播。 The PIs are fully committed to increasing participation from under-represented groups in research, and will continue to further such efforts via outreach, in particular, through collaboration with Historically Black Colleges and Universities (HBCU).Specifically, this project aims to gain a deep understanding of RF sensing in healthcare IoT by exploiting advanced statistics and learning techniques, and to develop effective algorithms to make healthcare IoT more efficient.这项研究旨在通过明智地探索CSI张量和深度学习,从而大大降低成本并提高RF感知的准确性。研究工作属于以下三个交织的推力。 (i)在室内IoT环境中的RF感应:解决室内IoT环境中RF感测的几个基本挑战,包括开发用于基于CSI的指纹的随机模型,结合嵌套阵列,并将深度学习应用于室内设备的无设置。 (ii)用于医疗保健的RF感应:使用RF和听不清的声音信号开发有效的解决方案,用于无接触式和长期生命体征以及人类行为监测。 (iii)系统集成和评估:我们将将从前两个推力的组件集成到医疗IoT环境中,以了解这些组件的相互作用并评估整体系统性能。
项目成果
期刊论文数量(34)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
TensorBeat: Tensor Decomposition for Monitoring Multiperson Breathing Beats with Commodity WiFi
- DOI:10.1145/3078855
- 发表时间:2017-10-01
- 期刊:
- 影响因子:5
- 作者:Wang, Xuyu;Yang, Chao;Mao, Shiwen
- 通讯作者:Mao, Shiwen
Grain Pile Temperature Forecasting from Weather Factors: A Support Vector Regression Approach
- DOI:10.1109/iccchina.2019.8855910
- 发表时间:2019-01-01
- 期刊:
- 影响因子:0
- 作者:Duan, Shanshan;Yang, Weidong;Zhang, Yuan
- 通讯作者:Zhang, Yuan
Dealing with Limited Backhaul Capacity in Millimeter-Wave Systems: A Deep Reinforcement Learning Approach
- DOI:10.1109/mcom.2019.1800565
- 发表时间:2018-12
- 期刊:
- 影响因子:11.2
- 作者:Mingjie Feng;S. Mao
- 通讯作者:Mingjie Feng;S. Mao
MiFi: Device-Free Wheat Mildew Detection Using Off-the-Shelf WiFi Devices
MiFi:使用现成的 WiFi 设备进行无设备小麦霉病检测
- DOI:10.1109/globecom38437.2019.9013895
- 发表时间:2019
- 期刊:
- 影响因子:0
- 作者:Hu, Pengming;Yang, Weidong;Wang, Xuyu;Mao, Shiwen
- 通讯作者:Mao, Shiwen
Unsupervised Detection of Apnea Using Commodity RFID Tags With a Recurrent Variational Autoencoder
- DOI:10.1109/access.2019.2918292
- 发表时间:2019-05
- 期刊:
- 影响因子:3.9
- 作者:Chao Yang;Xuyu Wang;S. Mao
- 通讯作者:Chao Yang;Xuyu Wang;S. Mao
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Shiwen Mao其他文献
Scheduling of UAV-Assisted Millimeter Wave Communications for High-Speed Railway
无人机辅助高铁毫米波通信调度
- DOI:
10.1109/tvt.2022.3176855 - 发表时间:
2022 - 期刊:
- 影响因子:6.8
- 作者:
Yibing Wang;Yong Niu;Hao Wu;Shiwen Mao;Bo Ai;Zhangdui Zhong;Ning Wang - 通讯作者:
Ning Wang
Optimized Content Caching and User Association for Edge Computing in Densely Deployed Heterogeneous Networks
密集部署的异构网络中边缘计算的优化内容缓存和用户关联
- DOI:
10.1109/tmc.2020.3033563 - 发表时间:
2020-10 - 期刊:
- 影响因子:7.9
- 作者:
Yun Li;Hui Ma;Lei Wang;Shiwen Mao;Guoyin Wang - 通讯作者:
Guoyin Wang
基于轻量级深度神经网络的电磁信号调制识别技术
- DOI:
10.11959/j.issn.1000-436x.2020237 - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
张思成;林云;涂涯;Shiwen Mao - 通讯作者:
Shiwen Mao
Green Heterogeneous Cloud Radio Access Networks: Potential Techniques, Performance Trade-offs, and Challenges
绿色异构云无线接入网络:潜在技术、性能权衡和挑战
- DOI:
10.1109/mcom.2017.1600807 - 发表时间:
2017-09 - 期刊:
- 影响因子:11.2
- 作者:
Yuzhou Li;Tao Jiang;Kai Luo;Shiwen Mao - 通讯作者:
Shiwen Mao
Complex-Valued Networks for Automatic Modulation Classification
用于自动调制分类的复值网络
- DOI:
10.1109/tvt.2020.3005707 - 发表时间:
2020-06 - 期刊:
- 影响因子:6.8
- 作者:
Ya Tu;Yun Lin;Changbo Hou;Shiwen Mao - 通讯作者:
Shiwen Mao
Shiwen Mao的其他文献
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{{ truncateString('Shiwen Mao', 18)}}的其他基金
Collaborative Research: IMR: MM-1A: Functional Data Analysis-aided Learning Methods for Robust Wireless Measurements
合作研究:IMR:MM-1A:用于稳健无线测量的功能数据分析辅助学习方法
- 批准号:
2319342 - 财政年份:2023
- 资助金额:
$ 30万 - 项目类别:
Continuing Grant
Collaborative Research: CCSS: When RFID Meets AI for Occluded Body Skeletal Posture Capture in Smart Healthcare
合作研究:CCSS:当 RFID 与人工智能相遇,用于智能医疗保健中闭塞的身体骨骼姿势捕获
- 批准号:
2245608 - 财政年份:2023
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Collaborative Research: SCH: AI-driven RFID Sensing for Smart Health Applications
合作研究:SCH:面向智能健康应用的人工智能驱动的 RFID 传感
- 批准号:
2306789 - 财政年份:2023
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
RINGS: l-RIM: Learning based Resilient Immersive Media-Compression, Delivery, and Interaction
RINGS:l-RIM:基于学习的弹性沉浸式媒体压缩、交付和交互
- 批准号:
2148382 - 财政年份:2022
- 资助金额:
$ 30万 - 项目类别:
Continuing Grant
Collaborative Research: CNS Core: Medium: Data Augmentation and Adaptive Learning for Next Generation Wireless Spectrum Systems
合作研究:CNS 核心:媒介:下一代无线频谱系统的数据增强和自适应学习
- 批准号:
2107190 - 财政年份:2021
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
CCSS: Autonomous Drone and Ground Robot Cooperative Tasking in Complex Indoor Environments
CCSS:复杂室内环境中的自主无人机和地面机器人协作任务
- 批准号:
1923163 - 财政年份:2019
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
RUI: SpecEES: Collaborative Research: Enabling Secure, Energy-Efficient, and Smart In-Band Full Duplex Wireless
RUI:SpecEES:协作研究:实现安全、节能和智能的带内全双工无线
- 批准号:
1923717 - 财政年份:2019
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Phase I IUCRC Auburn University: Fiber-Wireless Integration and Networking (FiWIN) Center for Heterogeneous Mobile Data Communications
第一阶段 IUCRC 奥本大学:异构移动数据通信光纤无线集成和网络 (FiWIN) 中心
- 批准号:
1822055 - 财政年份:2018
- 资助金额:
$ 30万 - 项目类别:
Continuing Grant
NeTS: Small: Collaborative Research: Exploring the 60 GHz Spectral Frontier for Multi-Gigabit Wireless Networks
NetS:小型:协作研究:探索多千兆位无线网络的 60 GHz 频谱前沿
- 批准号:
1320664 - 财政年份:2013
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Collaborative Research: EARS: Cognitive and Efficient Spectrum Access in Autonomous Wireless Networks
合作研究:EARS:自主无线网络中的认知和高效频谱访问
- 批准号:
1247955 - 财政年份:2013
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
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