CSR: Small: RF-Wear: Enabling RF Sensing on Wearable Devices for Non-Intrusive Human Activity, Vital Sign and Context Monitoring
CSR:小型:RF-Wear:在可穿戴设备上实现射频感应,以实现非侵入式人类活动、生命体征和环境监测
基本信息
- 批准号:1617627
- 负责人:
- 金额:$ 49.63万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-08-01 至 2020-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Wearable devices are growing in popularity at a tremendous rate. Today, millions of people wear fitness trackers and smart watches on a daily basis to track steps, heart rates and sleep. However, the constraints of the built-in sensors in existing wearable devices act as key bottlenecks that limit the broader impact of wearable devices. In particular, accelerometers and gyroscopes can only sense motion and rotation of body parts to which they are attached. Microphones and cameras can capture rich information but come with severe privacy concerns. Many physiological sensors such as respiration and electrocardiogram sensors are intrusive in that they must be placed at certain body locations and require tight skin contact to function. This project focuses on pushing the boundaries of wearable devices by exploring wireless radio as a new sensing modality on wearable devices for human physical activity, vital sign, and context sensing. Compared to existing sensing modalities in wearable devices, radio provides a contactless and privacy-preserving approach to capture rich information about users and their context. The underpinning principle is that movements of different parts of human body caused by different human activities (physical, physiological and contextual) generate different changes on radio signals. By analyzing these changes, the activity that causes the changes can be recognized. Based on this principle, this project aims to pursue five tightly coupled research tasks associated with the goal of exploring radio based sensing on wearable devices: (1) investigating radio as a whole-body motion sensor for recognizing activities of daily living (ADLs); (2) investigating radio as a contact-less physiological sensor for monitoring vital signs; (3) investigating radio as a context sensor for identifying the object a user is interacting with; (4) putting everything together to use a single radio sensing modality for recognizing ADLs, monitoring vital signs, and identifying context simultaneously; and (5) developing power-aware schemes to minimize the power consumption of the wearable device.This project will advance the knowledge and understanding of radio based sensing on wearable devices. It has the potential to fundamentally transform wearable devices as they are currently known. If successful, this project will not only make a theoretical contribution to radio based sensing on wearable devices but also yield a prototype platform, opening up a new world of applications in domains such as healthcare, entertainment, social computing and education.
可穿戴设备以极高的速度越来越受欢迎。如今,数以百万计的人每天都要穿健身追踪器和智能手表,以跟踪步骤,心率和睡眠。但是,现有可穿戴设备中内置传感器的限制是限制可穿戴设备更广泛影响的关键瓶颈。特别是,加速度计和陀螺仪只能感知其附着的身体部位的运动和旋转。麦克风和摄像头可以捕获丰富的信息,但存在严重的隐私问题。许多生理传感器(例如呼吸和心电图传感器)具有侵入性,因为它们必须放置在某些身体位置,并且需要紧密的皮肤接触才能发挥作用。该项目着重于通过探索无线收音机作为可穿戴设备的新型感应方式来突破可穿戴设备的界限,用于人体体育锻炼,生命体征和上下文感测。与可穿戴设备中的现有传感方式相比,无线电提供了一种无接触式和隐私的方法,以捕获有关用户及其上下文的丰富信息。基本原则是,由不同的人类活动(物理,生理和背景)引起的人体不同部位的运动会对无线电信号产生不同的变化。通过分析这些变化,可以识别导致变化的活动。基于这一原则,该项目旨在追求五个与探索可穿戴设备的基于无线电的感测的目标相关的紧密耦合的研究任务:(1)研究无线电作为全身运动传感器,以识别日常生活的活动(ADLS); (2)将无线电调查为无接触式生理传感器,以监测生命体征; (3)调查无线电作为上下文传感器,以识别用户与用户交互的对象; (4)将所有内容组合在一起,以使用单个无线电传感方式来识别ADL,监视生命体征和同时识别上下文; (5)开发功能感知方案,以最大程度地减少可穿戴设备的功耗。该项目将促进对可穿戴设备的基于无线电的感知的知识和理解。它有可能从根本上改变可穿戴设备,众所周知。如果成功的话,该项目不仅将对可穿戴设备的基于无线电的感知做出理论贡献,还可以产生一个原型平台,从而在医疗保健,娱乐,社交计算和教育等领域开辟了新的应用程序。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Mi Zhang其他文献
Air-Borne Ultrasonic Transducers Based on Cross-Linked Polypropylene Ferro/Piezoelectrets
基于交联聚丙烯铁/压电驻极体的气载超声波换能器
- DOI:
10.1109/jsen.2022.3186915 - 发表时间:
2022 - 期刊:
- 影响因子:4.3
- 作者:
Yuan Xue;Shuang Li;Mi Zhang;Zehai Ruan;Kai Wu;Jianglang Cao;Guanglin Li;Xiaoqing Zhang;Peng Fang - 通讯作者:
Peng Fang
Attention-Guided Multi-Scale Segmentation Neural Network for Interactive Extraction of Region Objects from High-Resolution Satellite Imagery
用于从高分辨率卫星图像中交互式提取区域对象的注意力引导多尺度分割神经网络
- DOI:
10.3390/rs12050789 - 发表时间:
2020-03 - 期刊:
- 影响因子:5
- 作者:
Kun Li;Xiangyun Hu;Huiwei Jiang;Zhen Shu;Mi Zhang - 通讯作者:
Mi Zhang
A Heterostructure-In-Built Multichambered Host Architecture Enabled by Topochemical Self-Nitridation for Rechargeable Lithiated Silicon-Polysulfide Full Battery
一种通过拓扑化学自氮化实现的异质结构内置多室主机架构,用于可充电锂化硅多硫化物全电池
- DOI:
10.1002/adfm.202103456 - 发表时间:
2021 - 期刊:
- 影响因子:19
- 作者:
Yunhong Wei;Mi Zhang;Li Yuan;Boya Wang;Hongmei Wang;Qian Wang;Yun Zhang;Junling Guo;Hao Wu - 通讯作者:
Hao Wu
NELoRa
内洛拉
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Chenning Li;Hanqing Guo;Zhichao Cao;Mi Zhang;Qiben Yan;Li Xiao;Yunhao Liu - 通讯作者:
Yunhao Liu
Two new sesquiterpenes from Xylopia vielana
Xylopia vielana 的两种新倍半萜烯
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:2.2
- 作者:
Ling Chen;P. Yang;Mi Zhang;Weifeng Dai - 通讯作者:
Weifeng Dai
Mi Zhang的其他文献
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{{ truncateString('Mi Zhang', 18)}}的其他基金
Collaborative Research: NeTS: Medium: Towards High-Performing LoRa with Embedded Intelligence on the Edge
协作研究:NeTS:中:利用边缘嵌入式智能实现高性能 LoRa
- 批准号:
2312675 - 财政年份:2023
- 资助金额:
$ 49.63万 - 项目类别:
Standard Grant
NSF Student Travel Grant for 2017 ACM International Conference on Mobile Systems, Applications, and Services (ACM MobiSys)
2017 年 ACM 国际移动系统、应用程序和服务会议 (ACM MobiSys) 的 NSF 学生旅费补助金
- 批准号:
1724807 - 财政年份:2017
- 资助金额:
$ 49.63万 - 项目类别:
Standard Grant
PFI:BIC: iSee - Intelligent Mobile Behavior Monitoring and Depression Analytics Service for College Counseling Decision Support
PFI:BIC:iSee - 用于大学咨询决策支持的智能移动行为监测和抑郁分析服务
- 批准号:
1632051 - 财政年份:2016
- 资助金额:
$ 49.63万 - 项目类别:
Standard Grant
CRII: CHS: WiFi-Based Human Behavior Sensing and Recognition System for Aging in Place
CRII:CHS:基于 WiFi 的人类行为感知和识别系统,用于就地养老
- 批准号:
1565604 - 财政年份:2016
- 资助金额:
$ 49.63万 - 项目类别:
Continuing Grant
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