Loading…
The Design of the Exercise Load Monitoring System Based on Internet of Things
Exercise is of great help to human health, and exercise load monitoring is also to ensure the physical and mental health of athletes. Therefore, this paper designs an exercise load detection system based on Internet of things technology. We introduce the design of heart rate acquisition part, mobile...
Saved in:
Published in: | Wireless communications and mobile computing 2022-04, Vol.2022, p.1-11 |
---|---|
Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c267t-c46c3d538fcf4cbe0e9d1283f118b9c72424512d332a9f8c9be6f201e7194e683 |
---|---|
cites | cdi_FETCH-LOGICAL-c267t-c46c3d538fcf4cbe0e9d1283f118b9c72424512d332a9f8c9be6f201e7194e683 |
container_end_page | 11 |
container_issue | |
container_start_page | 1 |
container_title | Wireless communications and mobile computing |
container_volume | 2022 |
creator | Zhao, KuoTu Liu, WeiJun |
description | Exercise is of great help to human health, and exercise load monitoring is also to ensure the physical and mental health of athletes. Therefore, this paper designs an exercise load detection system based on Internet of things technology. We introduce the design of heart rate acquisition part, mobile application part, and web server in detail. There are many places to weigh and consider in the design process. The design idea of the system is introduced step by step, and the hardware system deployment architecture and the overall software architecture of the system are designed. In particular, the monitoring of exercise heart rate is very suitable for the system requirements studied in this paper. The system design in this paper can achieve the effect of human sports load detection. |
doi_str_mv | 10.1155/2022/8011124 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2651414986</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2651414986</sourcerecordid><originalsourceid>FETCH-LOGICAL-c267t-c46c3d538fcf4cbe0e9d1283f118b9c72424512d332a9f8c9be6f201e7194e683</originalsourceid><addsrcrecordid>eNp9kMFOAjEQhhujiYjefIAmHnWl03a73aMiKgnEg3hulu4UlkiL7RLl7V0C8ehpZpJvZvJ_hFwDuwfI8wFnnA80AwAuT0gPcsEyrYri9K9X5Tm5SGnFGBOMQ49MZ0ukT5iahafB0babRj8YbZOQTkJV02nwTRti4xf0fZdaXNPHKmFNg6dj32L02O4XZ8uOSJfkzFWfCa-OtU8-nkez4Ws2eXsZDx8mmeWqaDMrlRV1LrSzTto5Mixr4Fo4AD0vbcEllznwWghelU7bco7KcQZYQClRadEnN4e7mxi-tphaswrb6LuXhqscJMhSq466O1A2hpQiOrOJzbqKOwPM7IWZvTBzFNbhtwe8i1JX383_9C_xm2hw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2651414986</pqid></control><display><type>article</type><title>The Design of the Exercise Load Monitoring System Based on Internet of Things</title><source>Wiley-Blackwell Open Access Collection</source><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><creator>Zhao, KuoTu ; Liu, WeiJun</creator><contributor>Qu, Zhiguo ; Zhiguo Qu</contributor><creatorcontrib>Zhao, KuoTu ; Liu, WeiJun ; Qu, Zhiguo ; Zhiguo Qu</creatorcontrib><description>Exercise is of great help to human health, and exercise load monitoring is also to ensure the physical and mental health of athletes. Therefore, this paper designs an exercise load detection system based on Internet of things technology. We introduce the design of heart rate acquisition part, mobile application part, and web server in detail. There are many places to weigh and consider in the design process. The design idea of the system is introduced step by step, and the hardware system deployment architecture and the overall software architecture of the system are designed. In particular, the monitoring of exercise heart rate is very suitable for the system requirements studied in this paper. The system design in this paper can achieve the effect of human sports load detection.</description><identifier>ISSN: 1530-8669</identifier><identifier>EISSN: 1530-8677</identifier><identifier>DOI: 10.1155/2022/8011124</identifier><language>eng</language><publisher>Oxford: Hindawi</publisher><subject>Applications programs ; College students ; Communication ; Computer architecture ; Design ; Exercise intensity ; Heart rate ; Information storage ; Internet of Things ; Medical technology ; Mental health ; Mobile computing ; Monitoring systems ; Real time ; Sensors ; Sports injuries ; Systems design ; Telemedicine ; Vital signs ; Wearable computers</subject><ispartof>Wireless communications and mobile computing, 2022-04, Vol.2022, p.1-11</ispartof><rights>Copyright © 2022 KuoTu Zhao and WeiJun Liu.</rights><rights>Copyright © 2022 KuoTu Zhao and WeiJun Liu. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c267t-c46c3d538fcf4cbe0e9d1283f118b9c72424512d332a9f8c9be6f201e7194e683</citedby><cites>FETCH-LOGICAL-c267t-c46c3d538fcf4cbe0e9d1283f118b9c72424512d332a9f8c9be6f201e7194e683</cites><orcidid>0000-0001-9238-3528</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2651414986/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2651414986?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590,75126</link.rule.ids></links><search><contributor>Qu, Zhiguo</contributor><contributor>Zhiguo Qu</contributor><creatorcontrib>Zhao, KuoTu</creatorcontrib><creatorcontrib>Liu, WeiJun</creatorcontrib><title>The Design of the Exercise Load Monitoring System Based on Internet of Things</title><title>Wireless communications and mobile computing</title><description>Exercise is of great help to human health, and exercise load monitoring is also to ensure the physical and mental health of athletes. Therefore, this paper designs an exercise load detection system based on Internet of things technology. We introduce the design of heart rate acquisition part, mobile application part, and web server in detail. There are many places to weigh and consider in the design process. The design idea of the system is introduced step by step, and the hardware system deployment architecture and the overall software architecture of the system are designed. In particular, the monitoring of exercise heart rate is very suitable for the system requirements studied in this paper. The system design in this paper can achieve the effect of human sports load detection.</description><subject>Applications programs</subject><subject>College students</subject><subject>Communication</subject><subject>Computer architecture</subject><subject>Design</subject><subject>Exercise intensity</subject><subject>Heart rate</subject><subject>Information storage</subject><subject>Internet of Things</subject><subject>Medical technology</subject><subject>Mental health</subject><subject>Mobile computing</subject><subject>Monitoring systems</subject><subject>Real time</subject><subject>Sensors</subject><subject>Sports injuries</subject><subject>Systems design</subject><subject>Telemedicine</subject><subject>Vital signs</subject><subject>Wearable computers</subject><issn>1530-8669</issn><issn>1530-8677</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNp9kMFOAjEQhhujiYjefIAmHnWl03a73aMiKgnEg3hulu4UlkiL7RLl7V0C8ehpZpJvZvJ_hFwDuwfI8wFnnA80AwAuT0gPcsEyrYri9K9X5Tm5SGnFGBOMQ49MZ0ukT5iahafB0babRj8YbZOQTkJV02nwTRti4xf0fZdaXNPHKmFNg6dj32L02O4XZ8uOSJfkzFWfCa-OtU8-nkez4Ws2eXsZDx8mmeWqaDMrlRV1LrSzTto5Mixr4Fo4AD0vbcEllznwWghelU7bco7KcQZYQClRadEnN4e7mxi-tphaswrb6LuXhqscJMhSq466O1A2hpQiOrOJzbqKOwPM7IWZvTBzFNbhtwe8i1JX383_9C_xm2hw</recordid><startdate>20220404</startdate><enddate>20220404</enddate><creator>Zhao, KuoTu</creator><creator>Liu, WeiJun</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0001-9238-3528</orcidid></search><sort><creationdate>20220404</creationdate><title>The Design of the Exercise Load Monitoring System Based on Internet of Things</title><author>Zhao, KuoTu ; Liu, WeiJun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c267t-c46c3d538fcf4cbe0e9d1283f118b9c72424512d332a9f8c9be6f201e7194e683</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Applications programs</topic><topic>College students</topic><topic>Communication</topic><topic>Computer architecture</topic><topic>Design</topic><topic>Exercise intensity</topic><topic>Heart rate</topic><topic>Information storage</topic><topic>Internet of Things</topic><topic>Medical technology</topic><topic>Mental health</topic><topic>Mobile computing</topic><topic>Monitoring systems</topic><topic>Real time</topic><topic>Sensors</topic><topic>Sports injuries</topic><topic>Systems design</topic><topic>Telemedicine</topic><topic>Vital signs</topic><topic>Wearable computers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhao, KuoTu</creatorcontrib><creatorcontrib>Liu, WeiJun</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Computing Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Wireless communications and mobile computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhao, KuoTu</au><au>Liu, WeiJun</au><au>Qu, Zhiguo</au><au>Zhiguo Qu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Design of the Exercise Load Monitoring System Based on Internet of Things</atitle><jtitle>Wireless communications and mobile computing</jtitle><date>2022-04-04</date><risdate>2022</risdate><volume>2022</volume><spage>1</spage><epage>11</epage><pages>1-11</pages><issn>1530-8669</issn><eissn>1530-8677</eissn><abstract>Exercise is of great help to human health, and exercise load monitoring is also to ensure the physical and mental health of athletes. Therefore, this paper designs an exercise load detection system based on Internet of things technology. We introduce the design of heart rate acquisition part, mobile application part, and web server in detail. There are many places to weigh and consider in the design process. The design idea of the system is introduced step by step, and the hardware system deployment architecture and the overall software architecture of the system are designed. In particular, the monitoring of exercise heart rate is very suitable for the system requirements studied in this paper. The system design in this paper can achieve the effect of human sports load detection.</abstract><cop>Oxford</cop><pub>Hindawi</pub><doi>10.1155/2022/8011124</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-9238-3528</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1530-8669 |
ispartof | Wireless communications and mobile computing, 2022-04, Vol.2022, p.1-11 |
issn | 1530-8669 1530-8677 |
language | eng |
recordid | cdi_proquest_journals_2651414986 |
source | Wiley-Blackwell Open Access Collection; Publicly Available Content Database (Proquest) (PQ_SDU_P3) |
subjects | Applications programs College students Communication Computer architecture Design Exercise intensity Heart rate Information storage Internet of Things Medical technology Mental health Mobile computing Monitoring systems Real time Sensors Sports injuries Systems design Telemedicine Vital signs Wearable computers |
title | The Design of the Exercise Load Monitoring System Based on Internet of Things |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T22%3A23%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Design%20of%20the%20Exercise%20Load%20Monitoring%20System%20Based%20on%20Internet%20of%20Things&rft.jtitle=Wireless%20communications%20and%20mobile%20computing&rft.au=Zhao,%20KuoTu&rft.date=2022-04-04&rft.volume=2022&rft.spage=1&rft.epage=11&rft.pages=1-11&rft.issn=1530-8669&rft.eissn=1530-8677&rft_id=info:doi/10.1155/2022/8011124&rft_dat=%3Cproquest_cross%3E2651414986%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c267t-c46c3d538fcf4cbe0e9d1283f118b9c72424512d332a9f8c9be6f201e7194e683%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2651414986&rft_id=info:pmid/&rfr_iscdi=true |