• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用接收信号强度指示测量步长。

Step Length Measurements Using the Received Signal Strength Indicator.

机构信息

School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW 2522, Australia.

出版信息

Sensors (Basel). 2021 Jan 7;21(2):382. doi: 10.3390/s21020382.

DOI:10.3390/s21020382
PMID:33430490
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7827001/
Abstract

In this paper, portable transceivers with micro-controllers and radio frequency modules are developed to measure the received signal strength, path loss, and thus the distance between the human ankles for both indoor and outdoor environments. By comparing the experimental results and the theoretical model, a path loss model between transceivers attached to the subject's ankles is derived. With the developed experimental path loss model, the step length can be measured relatively accurately, despite the imperfections of hardware devices, with the distance errors of a centimeter level. This paper, therefore, helps address the need for a distance measurement method that has fewer health concerns, is accurate, and is less affected by occlusions and confined spaces. Our findings possibly lay a foundation for some important applications, such as the measurement of gait speed and localization of the human body parts, in wireless body area networks.

摘要

本文开发了带有微控制器和射频模块的便携式收发器,用于测量室内和室外环境中人体脚踝之间的接收信号强度、路径损耗,从而测量距离。通过比较实验结果和理论模型,得出了附着在人体脚踝上的收发器之间的路径损耗模型。通过开发的实验路径损耗模型,即使硬件设备存在不完善之处,也可以相对准确地测量步长,距离误差在厘米级。因此,本文有助于解决需要一种距离测量方法,这种方法对健康的影响较小、准确且受遮挡和封闭空间的影响较小。我们的研究结果可能为一些重要的应用奠定基础,例如在无线体域网中测量步态速度和人体部位定位。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/9a0b0ca84976/sensors-21-00382-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/7ee4518f0896/sensors-21-00382-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/b54936d0f7bb/sensors-21-00382-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/244346e0ad9a/sensors-21-00382-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/e504addce46c/sensors-21-00382-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/9643683f9477/sensors-21-00382-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/54f00bd6fb07/sensors-21-00382-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/0463016290ed/sensors-21-00382-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/854ccf0ce0a5/sensors-21-00382-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/4c41eef2be73/sensors-21-00382-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/946502e91cfd/sensors-21-00382-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/ef36ae3a7325/sensors-21-00382-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/9a0b0ca84976/sensors-21-00382-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/7ee4518f0896/sensors-21-00382-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/b54936d0f7bb/sensors-21-00382-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/244346e0ad9a/sensors-21-00382-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/e504addce46c/sensors-21-00382-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/9643683f9477/sensors-21-00382-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/54f00bd6fb07/sensors-21-00382-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/0463016290ed/sensors-21-00382-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/854ccf0ce0a5/sensors-21-00382-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/4c41eef2be73/sensors-21-00382-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/946502e91cfd/sensors-21-00382-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/ef36ae3a7325/sensors-21-00382-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3929/7827001/9a0b0ca84976/sensors-21-00382-g012.jpg

相似文献

1
Step Length Measurements Using the Received Signal Strength Indicator.使用接收信号强度指示测量步长。
Sensors (Basel). 2021 Jan 7;21(2):382. doi: 10.3390/s21020382.
2
Step Length Estimation Using the RSSI Method in Walking and Jogging Scenarios.使用 RSSI 方法在行走和慢跑场景中进行步长估计。
Sensors (Basel). 2022 Feb 19;22(4):1640. doi: 10.3390/s22041640.
3
Impact of indoor environment on path loss in body area networks.室内环境对人体区域网络中路径损耗的影响。
Sensors (Basel). 2014 Oct 20;14(10):19551-60. doi: 10.3390/s141019551.
4
Real-Time Step Length Estimation in Indoor and Outdoor Scenarios.实时室内外场景步长估计。
Sensors (Basel). 2022 Nov 3;22(21):8472. doi: 10.3390/s22218472.
5
Measuring in-home walking speed using wall-mounted RF transceiver arrays.使用壁挂式射频收发器阵列测量家庭步行速度。
Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:914-7. doi: 10.1109/EMBC.2014.6943740.
6
Multidimensional optimization of signal space distance parameters in WLAN positioning.无线局域网定位中信号空间距离参数的多维优化
ScientificWorldJournal. 2014 Mar 16;2014:986061. doi: 10.1155/2014/986061. eCollection 2014.
7
Advanced Line-of-Sight (LOS) model for communicating devices in modern indoor environment.现代室内环境中通信设备的高级视距 (LOS) 模型。
PLoS One. 2024 Jul 5;19(7):e0305039. doi: 10.1371/journal.pone.0305039. eCollection 2024.
8
Analysis of Human Body Shadowing Effect on Wireless Sensor Networks Operating in the 2.4 GHz Band.人体对 2.4GHz 频段无线传感器网络的阴影效应分析。
Sensors (Basel). 2018 Oct 11;18(10):3412. doi: 10.3390/s18103412.
9
In-to-out body path loss for wireless radio frequency capsule endoscopy in a human body.人体中无线射频胶囊内窥镜的体内到体外路径损耗。
Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:3048-3051. doi: 10.1109/EMBC.2016.7591372.
10
Cost-Effective Wearable Indoor Localization and Motion Analysis via the Integration of UWB and IMU.基于超宽带(UWB)和惯性测量单元(IMU)集成的具有成本效益的可穿戴室内定位和运动分析。
Sensors (Basel). 2020 Jan 7;20(2):344. doi: 10.3390/s20020344.

引用本文的文献

1
Real-Time Step Length Estimation in Indoor and Outdoor Scenarios.实时室内外场景步长估计。
Sensors (Basel). 2022 Nov 3;22(21):8472. doi: 10.3390/s22218472.
2
Step Length Estimation Using the RSSI Method in Walking and Jogging Scenarios.使用 RSSI 方法在行走和慢跑场景中进行步长估计。
Sensors (Basel). 2022 Feb 19;22(4):1640. doi: 10.3390/s22041640.

本文引用的文献

1
Performance Evaluation of Non-GPS Based Localization Techniques under Shadowing Effects.阴影效应下基于非全球定位系统的定位技术性能评估
Sensors (Basel). 2019 Jun 10;19(11):2633. doi: 10.3390/s19112633.
2
Association of Wearable Activity Monitors With Assessment of Daily Ambulation and Length of Stay Among Patients Undergoing Major Surgery.可穿戴活动监测器与主要手术患者日常活动评估和住院时间的关系。
JAMA Netw Open. 2019 Feb 1;2(2):e187673. doi: 10.1001/jamanetworkopen.2018.7673.
3
Joint Transmission Power Control and Relay Cooperation for WBAN Systems.
用于 WBAN 系统的联合发射功率控制和中继协作。
Sensors (Basel). 2018 Dec 5;18(12):4283. doi: 10.3390/s18124283.
4
Gait analysis methods: an overview of wearable and non-wearable systems, highlighting clinical applications.步态分析方法:可穿戴和不可穿戴系统概述,重点介绍临床应用。
Sensors (Basel). 2014 Feb 19;14(2):3362-94. doi: 10.3390/s140203362.