... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks最新文献_第6页

Low Energy ECG Features Extraction for Atrial Fibrillation Detection in Wearable Sensors 基于可穿戴传感器的房颤低能心电特征提取

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2021-01-01 DOI: 10.5220/0010245200690077

Manan Almusallam, A. Soudani

引用次数: 0

Practical Precision Agriculture with LoRa based Wireless Sensor Networks 基于LoRa无线传感器网络的实用精准农业

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2021-01-01 DOI: 10.5220/0010394401310140

J. Gresl, Scott Fazackerley, R. Lawrence

{"title":"Practical Precision Agriculture with LoRa based Wireless Sensor Networks","authors":"J. Gresl, Scott Fazackerley, R. Lawrence","doi":"10.5220/0010394401310140","DOIUrl":"https://doi.org/10.5220/0010394401310140","url":null,"abstract":"Precision agriculture is enabled by using real-time data to manage environmental variations, measure performance to improve upon previous seasons, and perform predictive analysis to make better growing decisions, resulting in higher production yields with lower production costs. Although beneficial, collecting and analyzing the environmental data is an expensive and complicated endeavor. Numerous existing wireless sensor network (WSN) solutions rely on protocols such as 802.15.4 b (LR-WPANs) and 802.11x (WLAN) but provide limited transmission range, complex communication stacks and data management, and high power consumption. Additionally, many existing services introduce challenges with data ownership and residency. These factors present a high barrier to entry for growers. The resources required to implement and maintain sensor networks are too high to justify the investment. This work presents an approach that uses inexpensive and effective hardware that is easily setup and maintained. Costs to implement the network are reduced through the use of open-source hardware. Transmission ranges and power consumption are improved by using long range (LoRa) radio transceivers. By addressing these limitations, growers will be better enabled to adopt new technologies, ultimately improving sustainability, viability, quality and profit margins in agriculture.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"25 1","pages":"131-140"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84169618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

On-site Sensor Noise Evaluation and Detectability in Low Cost Accelerometers 低成本加速度计现场传感器噪声评估与可探测性

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2021-01-01 DOI: 10.5220/0010319001000106

M. Manso, M. Bezzeghoud

引用次数: 2

Genetic Programming based Iterative Improvement Algorithm for HW/SW Cosynthesis of Distributted Embedded Systems 基于遗传规划的分布式嵌入式系统软硬件协同迭代改进算法

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2021-01-01 DOI: 10.5220/0010391501200125

Adam Górski, M. Ogorzałek

引用次数: 2

Real-Time Range Query Approximation by Means of Adaptive Quad Streaming 基于自适应四元流的实时距离查询逼近

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2021-01-01 DOI: 10.5220/0010246500130024

Simon Keller, Rainer Mueller

{"title":"Real-Time Range Query Approximation by Means of Adaptive Quad Streaming","authors":"Simon Keller, Rainer Mueller","doi":"10.5220/0010246500130024","DOIUrl":"https://doi.org/10.5220/0010246500130024","url":null,"abstract":"Continuous range queries are a common means to handle mobile clients in high-density areas. Most existing approaches focus on settings in which the range queries for location-based services are mostly static whereas the mobile clients in the ranges move. We focus on a category called Dynamic Real-Time Range Queries (DRRQ) assuming that both, clients requested by the query and the inquirers, are mobile. In consequence, the query parameters results continuously change. This leads to two requirements: the ability to deal with an arbitrary high number of mobile nodes (scalability) and the real-time delivery of range query results. In this paper we present the highly decentralized solution Adaptive Quad Streaming (AQS) for the requirements of DRRQs. AQS approximates the query results in favor of a controlled real-time delivery and guaranteed scalability. While prior works commonly optimizes data structures on servers, we use AQS to focus on a highly distributed cell structure without data structures automatically adapting to changing client distributions. Instead of the commonly used request-response approach, we apply a lightweight streaming method in which no bidirectional communication and no storage or maintenance of queries are required at all.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"9 1","pages":"13-24"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72546760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Modified MPRR Protocol for WSN in Agricultural Scenario 农业场景下WSN的改进MPRR协议

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2021-01-01 DOI: 10.5220/0010374701430150

M. Cagnetti, M. Leccisi, F. Leccese

引用次数: 0

An Efficient Low-power Wake-up Receiver Architecture for Power Saving for Transmitter and Receiver Communications 一种有效的低功耗唤醒接收器架构，用于发送和接收通信的节能

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2021-01-01 DOI: 10.5220/0010236400610068

R. Fromm, L. Schott, F. Derbel

引用次数: 7

System based Code Evaluation Criteria for CDM Applications in Sensor and Data Transmission Systems CDM在传感器和数据传输系统中应用的基于系统的代码评价标准

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2021-01-01 DOI: 10.5220/0010247900780085

P. Stapf, M. Götten, A. Ahrens, S. Lochmann

引用次数: 0

Optimal Sensor Placement for Human Activity Recognition with a Minimal Smartphone-IMU Setup 用最小的智能手机- imu设置进行人类活动识别的最佳传感器放置

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2021-01-01 DOI: 10.5220/0010269100370048

Vincent Xeno Rahn, Lin Zhou, Eric Klieme, B. Arnrich

{"title":"Optimal Sensor Placement for Human Activity Recognition with a Minimal Smartphone-IMU Setup","authors":"Vincent Xeno Rahn, Lin Zhou, Eric Klieme, B. Arnrich","doi":"10.5220/0010269100370048","DOIUrl":"https://doi.org/10.5220/0010269100370048","url":null,"abstract":"Human Activity Recognition (HAR) of everyday activities using smartphones has been intensively researched over the past years. Despite the high detection performance, smartphones can not continuously provide reliable information about the currently conducted activity as their placement at the subject’s body is uncertain. In this study, a system is developed that enables real-time collection of data from various Bluetooth inertial measurement units (IMUs) in addition to the smartphone. The contribution of this work is an extensive overview of related work in this field and the identification of unobtrusive, minimal combinations of IMUs with the smartphone that achieve high recognition performance. Eighteen young subjects with unrestricted mobility were recorded conducting seven daily-life activities with a smartphone in the pocket and five IMUs at different body positions. With a Convolutional Neural Network (CNN) for activity recognition, activity classification accuracy increased by up to 23% with one IMU additional to the smartphone. An overall prediction rate of 97% was reached with a smartphone in the pocket and an IMU at the ankle. This study demonstrated the potential that an additional IMU can improve the accuracy of smartphone-based HAR on daily-life activities.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"9 1","pages":"37-48"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84695013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Advances in Sensing Technologies for Smart Monitoring in Precise Agriculture 面向精准农业智能监测的传感技术研究进展

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2021-01-01 DOI: 10.5220/0010415401510158

L. Maiolo, D. Polese

引用次数: 5